You searched for subject:(Opinion dynamics).
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1.
Chatterjee, Avhishek.
Understanding dynamics and resource allocation in social networks.
Degree: PhD, Electrical and Computer engineering, 2015, University of Texas – Austin
URL: http://hdl.handle.net/2152/32421 
► Widespread popularity of various online social networks has attracted significant attention of the research community. Research interest in social networks are broadly divided into two…
(more)
▼ Widespread popularity of various online social networks has attracted
significant attention of the research community. Research interest
in social networks are broadly divided into two categories:
understanding the social or human network
dynamics and harnessing the social network
dynamics to gain economic, business or political advantage using minimal
resource. These two research directions fuel each other.
Better understanding offers better resource utilization/allocation in harnessing
the network and the need for better resource utilization/allocation
drives the fundamental research in understanding
human networks. This thesis considers important problems in both
directions as well as at their intersection.
We first study
opinion dynamics in social networks. We propose a new stochastic
dynamics which generalizes two widely used and complementary models of
opinion
dynamics, graph-based linear
dynamics and bounded confidence
dynamics
into a single stochastic
dynamics. We analytically study the conditions under which
such
dynamics result in reconciliation or some sort of consensus. Our findings
relate well to observed behaviors of societies.
The next problem that we consider is related to designing personalized/targeted
advertisements or campaigns for social network users. Currently viral marketing
or campaigning rely only on the structure of the friendship graph. In reality
friends may have different opinions on different topics or issues. It is understood that
if opinions regarding a topic were known one could design better
targeted campaigns. We propose algorithms which can infer opinions of people
by observing their interactions regarding a topic or an issue. As data
gathering and computation requires resources, our algorithm is designed to
work with fewer such resources for a broad class of social networks and
interaction patterns.
A recent trend among different businesses
is to work with social software providers (e.g., Lithium, Salesforce.com)
to engage consumers online and often involve the online
crowd directly in developing and running business ideas.
This trend, popularly known as crowdsourcing uses human cloud to
do jobs that cannot be done by machines. Crowdsourcing
has been successfully used to do simple human tasks (Amazon Mechanical Turk),
scientific research (fold.it), freelance software development(oDesk) as well
as in impacting the lives of people in poverty (Samasource).
Many big business houses use crowdsourcing, e.g., Microsoft, Samsung, Intel etc.,
IBM harness its employee pool using internal crowdsourcing.
As employing humans (a.k.a. agents) for jobs,
and especially for skilled jobs (like software
development, scientific studies) is costly, an efficient job to agent allocation
is key to the success of crowdsourcing. Motivated by this, in the last part of
the thesis we study efficient resource allocation in skill-based crowdsourcing
platforms.
Advisors/Committee Members: Vishwanath, Sriram (advisor), Baccelli, Francois (committee member), Sanghavi, Sujay (committee member), Shakkottai, Sanjay (committee member), Sirbu, Mihai (committee member), Varshney, Lav (committee member).
Subjects/Keywords: Social networks; Crowdsourcing; Opinion dynamics; Opinion inference
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APA (6th Edition):
Chatterjee, A. (2015). Understanding dynamics and resource allocation in social networks. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32421
Chicago Manual of Style (16th Edition):
Chatterjee, Avhishek. “Understanding dynamics and resource allocation in social networks.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed March 02, 2021.
http://hdl.handle.net/2152/32421.
MLA Handbook (7th Edition):
Chatterjee, Avhishek. “Understanding dynamics and resource allocation in social networks.” 2015. Web. 02 Mar 2021.
Vancouver:
Chatterjee A. Understanding dynamics and resource allocation in social networks. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2021 Mar 02].
Available from: http://hdl.handle.net/2152/32421.
Council of Science Editors:
Chatterjee A. Understanding dynamics and resource allocation in social networks. [Doctoral Dissertation]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32421
University of Ottawa
2.
Yan, Kai.
Opinion Dynamics and the Effect of Time-varying Opinions: A Simulation Study
.
Degree: 2015, University of Ottawa
URL: http://hdl.handle.net/10393/32959
► Opinion dynamics is extensively used in studying large-scale social, economical, political and natural phenomena that involve many interacting agents. It also can be used to…
(more)
▼ Opinion dynamics is extensively used in studying large-scale social, economical, political and natural phenomena that involve many interacting agents. It also can be used to model the evolution of teams of autonomous vehicles operating in a coordinated fashion with civilian and military applications, when arbitration among individual goals needs to be negotiated. Recently, research was conducted on how opinion dynamics can be the core of collective decision-making mechanisms for swarm robotics. Opinion dynamics with a time varying opinion space, which is the set of all possible opinions an agent may have, is a relatively recent research topic.
In this work, the Deffuant-Weisbuch model (DW model), which allows to model opinion dynamics in shrinking opinion spaces, was applied. In simulating this class of systems and in extracting information from them it is crucial to establish reliable algorithms and criteria for counting the numbers of clusters, as this ultimately affects the determination of the steady state of the system. A method was applied to combine Fuzzy c-means clustering and subtractive clustering to check convergence of the system and avoid negative influence of outliers. Different scenarios are simulated to study the influence of characteristic parameters on the formation of opinions, which is quantified by the formation of clusters in the opinion space. Additionally, we simulate the scenario of a two dimensional opinion space in which one side shrinks, and evaluate how the rate of shrinking influences the steady state opinion space. This is a simplified model to gain some insight on the effect of extreme changes of opinions in multi-dimensional opinion space.
Subjects/Keywords: Opinion dynamics;
Time-varying
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APA (6th Edition):
Yan, K. (2015). Opinion Dynamics and the Effect of Time-varying Opinions: A Simulation Study
. (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/32959
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Yan, Kai. “Opinion Dynamics and the Effect of Time-varying Opinions: A Simulation Study
.” 2015. Thesis, University of Ottawa. Accessed March 02, 2021.
http://hdl.handle.net/10393/32959.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Yan, Kai. “Opinion Dynamics and the Effect of Time-varying Opinions: A Simulation Study
.” 2015. Web. 02 Mar 2021.
Vancouver:
Yan K. Opinion Dynamics and the Effect of Time-varying Opinions: A Simulation Study
. [Internet] [Thesis]. University of Ottawa; 2015. [cited 2021 Mar 02].
Available from: http://hdl.handle.net/10393/32959.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Yan K. Opinion Dynamics and the Effect of Time-varying Opinions: A Simulation Study
. [Thesis]. University of Ottawa; 2015. Available from: http://hdl.handle.net/10393/32959
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Illinois – Urbana-Champaign
3.
Livesay, Michael Richard.
Stable configurations for population and social dynamics.
Degree: PhD, Mathematics, 2019, University of Illinois – Urbana-Champaign
URL: http://hdl.handle.net/2142/104735
► This dissertation investigates global and local minima in two models: the Lotka – Volterra model for population dynamics and a tractable polarized opinion social dynamic model.…
(more)
▼ This dissertation investigates global and local minima in two models: the Lotka – Volterra model for population
dynamics and a tractable polarized
opinion social dynamic model.
This dissertation contains stability results of the Lotka – Volterra model when induced by a cycle graph food web network. Results such as orbits, chaos and the probability of stability are given. A result showing convexity of the weighted connections of the food web is sufficient for global stability is given as well. Stability results of food webs which are perturbed from the cycle graph are explored as well for comparison.
This dissertation goes on to investigate how algebraic relationships within the community matrix predict stability for the generalized Lotka – Volterra model. In particular, it is shown that there is a strong relationship between the transversal eigenvalues with respect to a subset of the species in a system and the Schur compliment of the Jacobian at the interior fixed point with the submatrix determined by the same subset of species. This relationship gives an alternate proof to many well known results.
This dissertation also analyzes the global and local stability of an
opinion dynamic model which consists of a W-well potential and a graph Laplacian for coupling. The global minimizers and their lack of confinement to an orthant are investigated. The number of local minimizers are also investigated for various W-well potentials. This dissertation investigates the different types of bifurcations that can be seen depending on the differential properties of the W-potentials.
Advisors/Committee Members: DeVille, Lee (advisor), Bronski, Jared (Committee Chair), Rapti, Zoi (committee member), Zharnitsky, Vadim (committee member).
Subjects/Keywords: population dynamics; opinion dynamics; local stability
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APA (6th Edition):
Livesay, M. R. (2019). Stable configurations for population and social dynamics. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/104735
Chicago Manual of Style (16th Edition):
Livesay, Michael Richard. “Stable configurations for population and social dynamics.” 2019. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed March 02, 2021.
http://hdl.handle.net/2142/104735.
MLA Handbook (7th Edition):
Livesay, Michael Richard. “Stable configurations for population and social dynamics.” 2019. Web. 02 Mar 2021.
Vancouver:
Livesay MR. Stable configurations for population and social dynamics. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2019. [cited 2021 Mar 02].
Available from: http://hdl.handle.net/2142/104735.
Council of Science Editors:
Livesay MR. Stable configurations for population and social dynamics. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2019. Available from: http://hdl.handle.net/2142/104735
Washington State University
4.
[No author].
AN ENERGY-BASED INTERACTION MODEL FOR POPULATION OPINION DYNAMICS WITH TOPIC COUPLING
.
Degree: 2017, Washington State University
URL: http://hdl.handle.net/2376/13016
► Opinion dynamics, also called the opinion game, has gained a great deal of attention during past several decades. It tries to model and explain the…
(more)
▼ Opinion dynamics, also called the
opinion game, has gained a great deal of attention during past several decades. It tries to model and explain the evolution of opinions of people in a society. How individuals learn, how ideas are spread out, the role of leaders and/or media in directing public
opinion, co-existence of different ideas held by distinct groups and loss of cultures and languages in global village era are fascinating phenomena,
attracting the attention of scientists.
A new general variational model based on pairwise interaction potentials is introduced, where each agent can behave in its own unique way which can vary depending on the topic or even depending on whom it is interacting with. The model can be extended to the synchronous version in which an agent interacts with all of its neighbors at the same time. We observe interesting behavior emerges in the synchronous version of the game for simple potential functions such as a tent function.
The model supports the concept of topic ``coupling'', allowing opinions held by individuals to be changed via indirect interaction with others on different subjects.
As mentioned above, co-existence of different
ideas are of interest. However, recent technological changes have increased connectivity between
individuals around the world leading to higher frequency interactions between members of social groups that would be otherwise distant and
disconnected. In Chapter 3, we examine the model of
opinion dynamics in interacting groups and study how increasing interaction frequency affects the ability for groups to retain distinct identities versus falling into consensus or polarized states in which group identity is lost. We also study the effect (if any) of
opinion noise related to a tendency for individuals to assert their individuality in homogenous populations.
Advisors/Committee Members: Vixie, Kevin R (advisor), Sottile, Matthew J (advisor).
Subjects/Keywords: Mathematics;
Community Identity;
Opinion dynamics;
Opinion Game;
Social Interaction
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APA ·
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APA (6th Edition):
author], [. (2017). AN ENERGY-BASED INTERACTION MODEL FOR POPULATION OPINION DYNAMICS WITH TOPIC COUPLING
. (Thesis). Washington State University. Retrieved from http://hdl.handle.net/2376/13016
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
author], [No. “AN ENERGY-BASED INTERACTION MODEL FOR POPULATION OPINION DYNAMICS WITH TOPIC COUPLING
.” 2017. Thesis, Washington State University. Accessed March 02, 2021.
http://hdl.handle.net/2376/13016.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
author], [No. “AN ENERGY-BASED INTERACTION MODEL FOR POPULATION OPINION DYNAMICS WITH TOPIC COUPLING
.” 2017. Web. 02 Mar 2021.
Vancouver:
author] [. AN ENERGY-BASED INTERACTION MODEL FOR POPULATION OPINION DYNAMICS WITH TOPIC COUPLING
. [Internet] [Thesis]. Washington State University; 2017. [cited 2021 Mar 02].
Available from: http://hdl.handle.net/2376/13016.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
author] [. AN ENERGY-BASED INTERACTION MODEL FOR POPULATION OPINION DYNAMICS WITH TOPIC COUPLING
. [Thesis]. Washington State University; 2017. Available from: http://hdl.handle.net/2376/13016
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
5.
Ashouri Rad, Armin.
Three Essays on Dynamics of Online Communities.
Degree: PhD, Industrial and Systems Engineering, 2016, Virginia Tech
URL: http://hdl.handle.net/10919/71641
► Essay1: Reconstructing Online Behavior through Effort Minimization Data from online interactions increasingly informs our understanding of fundamental patterns of human behavior as well as commercial…
(more)
▼ Essay1: Reconstructing Online Behavior through Effort Minimization
Data from online interactions increasingly informs our understanding of fundamental patterns of human behavior as well as commercial and social enterprises. However, this data is often limited to traces of users' interactions with digital objects (e.g. votes, likes, shares) and does not include potentially relevant data on what people actually observe online. Estimating what users see could therefore enhance understanding and prediction in a variety of problems. We propose a method to reconstruct online behavior based on data available in many practical settings. The method infers a user's most likely browsing trajectory assuming that people minimize effort exertion in online browsing. We apply this method to data from a social news website to distinguish between items not observed by a user and those observed but not liked. This distinction allows us to obtain significant improvements in prediction and inference in comparison with multiple alternatives across a collaborative filtering and a regression validation problem.
Essay #2: Measuring Individual differences: A Big Data Approach
The amount of behavioral and attitudinal data we generate every day has grown significantly. This era of Big Data has enormous potential to help psychologists and social scientists understand human behavior. Online interactions may not always signify a deep illustration of individuals' beliefs, yet large-scale data on individuals interacting with a variety of contents on specific topics can approximate individuals' attitudes toward those topics. We propose a novel automated method to measure individuals' attitudes empirically and implicitly using their digital footprints on social media platforms. The method evaluates content orientation and individuals' attitudes on dimensions (i.e. subjects) to explain individual-content ratings in social media, optimizing a pre-defined cost function. By applying this method to data from a social news website, we observed a significant test-retest correlation and substantial agreement in inter-rater reliability testing.
Essay #3: Social Media and User Activity: An
Opinion-Based Study
An increasing fraction of social communications is conducted online, where physical constraints no longer structure interactions. This has significantly widened the circle of people with whom one can interact and has increased exposure to diverse opinions. Yet individuals may act and respond differently when faced with opinions far removed from their own, and in an online community such actions could activate important mechanisms in the system that form the future of the outlet. Studying such mechanisms can help us understand the social behaviors of communities in general and individuals in particular. It can also assist social media outlets with their platform design. We propose models that capture the changes in individuals' activities in social media caused by interacting with a variety of opinions. Estimating the parameters of the models using…
Advisors/Committee Members: Rahmandad, Hazhir (committeechair), Ghaffarzadegan, Navid (committee member), Triantis, Konstantinos P. (committee member), Mahdian, Mohammad (committee member).
Subjects/Keywords: Dynamics of opinion; opinion space; attitude measuring; online communities; online behaviors; users' activity
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APA ·
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Manager
APA (6th Edition):
Ashouri Rad, A. (2016). Three Essays on Dynamics of Online Communities. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/71641
Chicago Manual of Style (16th Edition):
Ashouri Rad, Armin. “Three Essays on Dynamics of Online Communities.” 2016. Doctoral Dissertation, Virginia Tech. Accessed March 02, 2021.
http://hdl.handle.net/10919/71641.
MLA Handbook (7th Edition):
Ashouri Rad, Armin. “Three Essays on Dynamics of Online Communities.” 2016. Web. 02 Mar 2021.
Vancouver:
Ashouri Rad A. Three Essays on Dynamics of Online Communities. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2021 Mar 02].
Available from: http://hdl.handle.net/10919/71641.
Council of Science Editors:
Ashouri Rad A. Three Essays on Dynamics of Online Communities. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/71641
Delft University of Technology
6.
Fase, Joep (author).
Polarization in the Netherlands: System dynamics and data science to get a deeper understanding of public opinions in social groups.
Degree: 2019, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:ab14b690-385b-43cc-ae0f-ec2d142fdbf4
► The Netherlands is becoming increasingly diverse, amongst other things, due to ethnicity, religion, and urbanity. These diverse societies cluster in districts all across the Netherlands.…
(more)
▼ The Netherlands is becoming increasingly diverse, amongst other things, due to ethnicity, religion, and urbanity. These diverse societies cluster in districts all across the Netherlands. There is an increase in tension between social groups, especially between people with and without migration background. Data analysis is used to measure the public opinion of each district in the Netherlands based on election results. System dynamics is used to model the public opinion over time and the polarizing behavior within districts. Polarization is a thought construct and does not need physical evidence to occur so the public debate plays a large role because it creates fuel for polarization. Even though there are national trends regarding public opinion, it is advised to look at a district in specific to understand why polarization may occur there.
Engineering and Policy Analysis
Advisors/Committee Members: Pruyt, Erik (mentor), van den Hoven, Jeroen (graduation committee), Asghari, Hadi (graduation committee), Struik, Mieke (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: Polarization; System Dynamics; Public Opinion; Migration; Data Science
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APA ·
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APA (6th Edition):
Fase, J. (. (2019). Polarization in the Netherlands: System dynamics and data science to get a deeper understanding of public opinions in social groups. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ab14b690-385b-43cc-ae0f-ec2d142fdbf4
Chicago Manual of Style (16th Edition):
Fase, Joep (author). “Polarization in the Netherlands: System dynamics and data science to get a deeper understanding of public opinions in social groups.” 2019. Masters Thesis, Delft University of Technology. Accessed March 02, 2021.
http://resolver.tudelft.nl/uuid:ab14b690-385b-43cc-ae0f-ec2d142fdbf4.
MLA Handbook (7th Edition):
Fase, Joep (author). “Polarization in the Netherlands: System dynamics and data science to get a deeper understanding of public opinions in social groups.” 2019. Web. 02 Mar 2021.
Vancouver:
Fase J(. Polarization in the Netherlands: System dynamics and data science to get a deeper understanding of public opinions in social groups. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Mar 02].
Available from: http://resolver.tudelft.nl/uuid:ab14b690-385b-43cc-ae0f-ec2d142fdbf4.
Council of Science Editors:
Fase J(. Polarization in the Netherlands: System dynamics and data science to get a deeper understanding of public opinions in social groups. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:ab14b690-385b-43cc-ae0f-ec2d142fdbf4
7.
Mukhopadhyay, Arpan.
Mean Field Interactions in Heterogeneous Networks.
Degree: 2016, University of Waterloo
URL: http://hdl.handle.net/10012/10253
► In the context of complex networks, we often encounter systems in which the constituent entities randomly interact with each other as they evolve with time.…
(more)
▼ In the context of complex networks, we often encounter systems
in which the constituent entities randomly interact with each other as they
evolve with time. Such random interactions can be described by Markov processes,
constructed on suitable state spaces. For many practical systems (e.g. server farms,
cloud data centers, social networks), the
Markov processes, describing the time-evolution of their constituent entities,
become analytically intractable
as a result of the complex interdependence
among the interacting entities.
However, if the `strength' of
these interactions converges to a constant as the size of the system
is increased, then
in the large system limit the underlying Markov process converges to a deterministic process, known
as the mean field limit of the corresponding
system. Thus, the mean field limit
provides a deterministic approximation of the randomly evolving system.
Such approximations are accurate for large system sizes.
Most prior works on mean field
techniques have analyzed systems in which the constituent entities
are identical or homogeneous.
In this dissertation, we use mean field techniques to analyze large complex systems
composed of heterogeneous entities.
First, we consider a class of large multi-server systems, that
arise in the context of web-server farms and cloud data centers. In such systems,
servers with heterogeneous capacities work in parallel to process
incoming jobs or requests.
We study schemes to assign the incoming jobs to the servers
with the goal of achieving optimal performance in terms of
certain metrics of interest while requiring the state information
of only a small number of servers in the system.
To this end, we consider randomized dynamic job assignment schemes
which sample a small random subset of servers at every job arrival instant
and assign the incoming job to one of the sampled servers based
on their instantaneous states.
We show that for heterogeneous systems,
naive sampling of the servers may result in an `unstable' system.
We propose schemes which maintain stability
by suitably sampling the servers.
The performances of these schemes are studied via the corresponding mean field limits,
that are shown to exist.
The existence and uniqueness of an asymptotically stable
equilibrium point of the mean field is established in every case.
Furthermore, it is shown that, in the large system limit,
the servers become independent of each other and the stationary
distribution of occupancy of each server can be obtained from the unique
equilibrium point of the mean field. The stationary tail distribution
of server occupancies is shown to have a fast decay rate which suggests significantly
improved performance for the appropriate metrics relevant to the application. Numerical studies
are presented which show that the proposed randomized dynamic schemes significantly outperform
randomized static schemes where job assignments are made independently
of the server states. In certain scenarios,…
Subjects/Keywords: Mean field; Heterogeneous; Processor sharing; Loss systems; Opinion dynamics; Majority rule
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APA ·
Chicago ·
MLA ·
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Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Mukhopadhyay, A. (2016). Mean Field Interactions in Heterogeneous Networks. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/10253
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Mukhopadhyay, Arpan. “Mean Field Interactions in Heterogeneous Networks.” 2016. Thesis, University of Waterloo. Accessed March 02, 2021.
http://hdl.handle.net/10012/10253.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Mukhopadhyay, Arpan. “Mean Field Interactions in Heterogeneous Networks.” 2016. Web. 02 Mar 2021.
Vancouver:
Mukhopadhyay A. Mean Field Interactions in Heterogeneous Networks. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2021 Mar 02].
Available from: http://hdl.handle.net/10012/10253.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Mukhopadhyay A. Mean Field Interactions in Heterogeneous Networks. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/10253
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Queensland University of Technology
8.
Ngu, Hong Ming.
Agent-based modelling of worker interactions and related impacts on workplace dynamics.
Degree: 2015, Queensland University of Technology
URL: http://eprints.qut.edu.au/90738/
► This study uses agent based modelling to simulate the worker interactions within a workplace and to investigate how the interactions can have impact on the…
(more)
▼ This study uses agent based modelling to simulate the worker interactions within a workplace and to investigate how the interactions can have impact on the workplace dynamics. Two new models (Bounded Confidence with Bias model and Relative Agreement with Bias model) are built based on the theoretical foundation of two existing models. A new factor, namely bias, is added into the new models which raises several issues to be studied.
Subjects/Keywords: Agent based modelling; Bias; Bounded Confidence model; Cluster; Consensus; Convergence; Opinion dynamics; Opinion formation; Relative Agreement Model; Worker interaction
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APA ·
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APA (6th Edition):
Ngu, H. M. (2015). Agent-based modelling of worker interactions and related impacts on workplace dynamics. (Thesis). Queensland University of Technology. Retrieved from http://eprints.qut.edu.au/90738/
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Ngu, Hong Ming. “Agent-based modelling of worker interactions and related impacts on workplace dynamics.” 2015. Thesis, Queensland University of Technology. Accessed March 02, 2021.
http://eprints.qut.edu.au/90738/.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Ngu, Hong Ming. “Agent-based modelling of worker interactions and related impacts on workplace dynamics.” 2015. Web. 02 Mar 2021.
Vancouver:
Ngu HM. Agent-based modelling of worker interactions and related impacts on workplace dynamics. [Internet] [Thesis]. Queensland University of Technology; 2015. [cited 2021 Mar 02].
Available from: http://eprints.qut.edu.au/90738/.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Ngu HM. Agent-based modelling of worker interactions and related impacts on workplace dynamics. [Thesis]. Queensland University of Technology; 2015. Available from: http://eprints.qut.edu.au/90738/
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Michigan
9.
Wells, Matthew S.
Commitment and Counterinsurgency: Essays on Domestic Politics and Patterns of Violence in Wars of Occupation.
Degree: PhD, Political Science, 2015, University of Michigan
URL: http://hdl.handle.net/2027.42/113560
► The papers of this dissertation explore two dimensions of wars of occupation. The first paper concerns the outcomes of such wars. It proposes a theory…
(more)
▼ The papers of this dissertation explore two dimensions of wars of occupation. The first paper concerns the outcomes of such wars. It proposes a theory of democratic accountability that links the level of casualties suffered by an occupying force to its leadership’s decision to withdraw from the contested territory. I argue that war casualties act as the cost that drives patterns of domestic support in democratic states. Political elites seeking electoral gain will give meaning to those casualties, frequently arguing that the benefits that might come with continued fighting will not justify those costs, and that such wars are not necessary for the state’s survival. I suggest that once these divisions occur at the elite level, it becomes very difficult to maintain support among the population. This leads to the finding that while democracies may not win or lose any less than autocracies, they consistently abandon them at significantly lower levels of casualties. In the second paper, I use an experimental survey to determine if news of American casualties or elite
opinion drives attitudes about the war in Afghanistan. Existing experiments in this area typically portray elite support as split along traditional partisan lines, and support or opposition among the subjects is usually driven by their partisan attachments. But this approach rarely reflects reality, where elite foreign policy and security opinions frequently cut across partisan divisions. The findings reveal that news of American casualties has little independent effect on attitudes towards the Afghanistan conflict. Instead, overall support for the conflict only declines when elite opinions in response to those deaths cut across standard partisan divisions. The final paper pivots to a discussion of the
dynamics of violence in these wars. Here, I examine whether the factors that were effective in reducing attacks against counterinsurgents in Iraq had the same effect on patterns of selective and indiscriminate violence against civilians. I find that greater American troop density in a given district is associated with declines in targeted attacks on Iraqi civilians, but this has no effect on the rate of indiscriminate attacks.
Advisors/Committee Members: Morrow, James D. (committee member), Ciorciari, John David (committee member), Davenport, Christian (committee member), Potter, Philip (committee member), Stam, Allan C. (committee member).
Subjects/Keywords: International Conflict; War Outcomes; Dynamics of Violence; Public Opinion of War; Political Science; Social Sciences
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APA (6th Edition):
Wells, M. S. (2015). Commitment and Counterinsurgency: Essays on Domestic Politics and Patterns of Violence in Wars of Occupation. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/113560
Chicago Manual of Style (16th Edition):
Wells, Matthew S. “Commitment and Counterinsurgency: Essays on Domestic Politics and Patterns of Violence in Wars of Occupation.” 2015. Doctoral Dissertation, University of Michigan. Accessed March 02, 2021.
http://hdl.handle.net/2027.42/113560.
MLA Handbook (7th Edition):
Wells, Matthew S. “Commitment and Counterinsurgency: Essays on Domestic Politics and Patterns of Violence in Wars of Occupation.” 2015. Web. 02 Mar 2021.
Vancouver:
Wells MS. Commitment and Counterinsurgency: Essays on Domestic Politics and Patterns of Violence in Wars of Occupation. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2021 Mar 02].
Available from: http://hdl.handle.net/2027.42/113560.
Council of Science Editors:
Wells MS. Commitment and Counterinsurgency: Essays on Domestic Politics and Patterns of Violence in Wars of Occupation. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/113560
George Mason University
10.
Harrison, Joseph Francis.
A General Social Agent-Based Model of Opinion Dynamics with Applications to STEM Education and Radicalization
.
Degree: 2016, George Mason University
URL: http://hdl.handle.net/1920/10581
► Many aspects of our society are affected by how opinions change and ideology spreads (e.g., interest in STEM and political radicalization), but the underlying processes…
(more)
▼ Many aspects of our society are affected by how opinions change and ideology spreads (e.g., interest in STEM and political radicalization), but the underlying processes are not well understood. Previous attempts at modeling these phenomena have suffered from a lack of empirical data and/or insufficient grounding in social-psychological theory. Moreover, the field of
opinion dynamics would benefit from a broader view of the discipline that captures the commonalities between different domains.
Advisors/Committee Members: Cioffi-Revilla, Claudio (advisor).
Subjects/Keywords: Social psychology;
Computer science;
Agent-based modeling;
Interest development;
Opinion dynamics;
Radicalization;
STEM
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Export
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APA (6th Edition):
Harrison, J. F. (2016). A General Social Agent-Based Model of Opinion Dynamics with Applications to STEM Education and Radicalization
. (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/10581
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Harrison, Joseph Francis. “A General Social Agent-Based Model of Opinion Dynamics with Applications to STEM Education and Radicalization
.” 2016. Thesis, George Mason University. Accessed March 02, 2021.
http://hdl.handle.net/1920/10581.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Harrison, Joseph Francis. “A General Social Agent-Based Model of Opinion Dynamics with Applications to STEM Education and Radicalization
.” 2016. Web. 02 Mar 2021.
Vancouver:
Harrison JF. A General Social Agent-Based Model of Opinion Dynamics with Applications to STEM Education and Radicalization
. [Internet] [Thesis]. George Mason University; 2016. [cited 2021 Mar 02].
Available from: http://hdl.handle.net/1920/10581.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Harrison JF. A General Social Agent-Based Model of Opinion Dynamics with Applications to STEM Education and Radicalization
. [Thesis]. George Mason University; 2016. Available from: http://hdl.handle.net/1920/10581
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
George Mason University
11.
Alizadeh, Meysam.
Essays on the Drivers of Political and Ideological Extremism
.
Degree: 2016, George Mason University
URL: http://hdl.handle.net/1920/10580
► The problem of interest in this dissertation is the phenomenon of drifting toward opinion extremes. The process is called Radicalization and has received a great…
(more)
▼ The problem of interest in this dissertation is the phenomenon of drifting toward
opinion extremes. The process is called Radicalization and has received a great deal of attention in social psychology and sociology from its inception. Although it is extremism of behavior that is of greatest interest, it is important to study
opinion extremism since it has been shown to be a plausible preceding step of violent extremism. One of the longstanding quests in counter-radicalization studies is to know what drives extremists to adopt extreme ideologies. However, it is unlikely that extremists will volunteer for experimental studies.
Advisors/Committee Members: Cioffi-Revilla, Claudio (advisor).
Subjects/Keywords: Political science;
Social psychology;
Sociology;
Extremism;
Ingroup Favoritism;
Intergroup Conflict;
Opinion Dynamics;
Polarization
Record Details
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Alizadeh, M. (2016). Essays on the Drivers of Political and Ideological Extremism
. (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/10580
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Alizadeh, Meysam. “Essays on the Drivers of Political and Ideological Extremism
.” 2016. Thesis, George Mason University. Accessed March 02, 2021.
http://hdl.handle.net/1920/10580.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Alizadeh, Meysam. “Essays on the Drivers of Political and Ideological Extremism
.” 2016. Web. 02 Mar 2021.
Vancouver:
Alizadeh M. Essays on the Drivers of Political and Ideological Extremism
. [Internet] [Thesis]. George Mason University; 2016. [cited 2021 Mar 02].
Available from: http://hdl.handle.net/1920/10580.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Alizadeh M. Essays on the Drivers of Political and Ideological Extremism
. [Thesis]. George Mason University; 2016. Available from: http://hdl.handle.net/1920/10580
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Maryland
12.
Burghardt, Keith A.
THE PHYSICS OF IDEAS: INFERRING THE MECHANICS OF OPINION FORMATION FROM MACROSCOPIC STATISTICAL PATTERNS.
Degree: Physics, 2016, University of Maryland
URL: http://hdl.handle.net/1903/18290
► In a microscopic setting, humans behave in rich and unexpected ways. In a macroscopic setting, however, distinctive patterns of group behavior emerge, leading statistical physicists…
(more)
▼ In a microscopic setting, humans behave in rich and unexpected ways. In a macroscopic setting, however, distinctive patterns of group behavior emerge, leading statistical physicists to search for an underlying mechanism. The aim of this dissertation is to analyze the macroscopic patterns of competing ideas in order to discern the mechanics of how group opinions form at the microscopic level.
First, we explore the competition of answers in online Q&A (question and answer) boards. We find that a simple individual-level model can capture important features of user behavior, especially as the number of answers to a question grows. Our model further suggests that the wisdom of crowds may be constrained by information overload, in which users are unable to thoroughly evaluate each answer and therefore tend to use heuristics to pick what they believe is the best answer.
Next, we explore models of
opinion spread among voters to explain observed universal statistical patterns such as rescaled vote distributions and logarithmic vote correlations. We introduce a simple model that can explain both properties, as well as why it takes so long for large groups to reach consensus. An important feature of the model that facilitates agreement with data is that individuals become more stubborn (unwilling to change their
opinion) over time.
Finally, we explore potential underlying mechanisms for
opinion formation in juries, by comparing data to various types of models. We find that different null hypotheses in which jurors do not interact when reaching a decision are in strong disagreement with data compared to a simple interaction model. These findings provide conceptual and mechanistic support for previous work that has found mutual influence can play a large role in group decisions. In addition, by matching our models to data, we are able to infer the time scales over which individuals change their opinions for different jury contexts. We find that these values increase as a function of the trial time, suggesting that jurors and judicial panels exhibit a kind of stubbornness similar to what we include in our model of voting behavior.
Advisors/Committee Members: Girvan, Michelle (advisor), Rand, William (advisor).
Subjects/Keywords: Theoretical physics; Sociology; Competing Ideas; Jury; Opinion Dynamics; Stack Exchange; Statistical Mechanics; Success
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APA ·
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CSE |
Export
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Manager
APA (6th Edition):
Burghardt, K. A. (2016). THE PHYSICS OF IDEAS: INFERRING THE MECHANICS OF OPINION FORMATION FROM MACROSCOPIC STATISTICAL PATTERNS. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/18290
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Burghardt, Keith A. “THE PHYSICS OF IDEAS: INFERRING THE MECHANICS OF OPINION FORMATION FROM MACROSCOPIC STATISTICAL PATTERNS.” 2016. Thesis, University of Maryland. Accessed March 02, 2021.
http://hdl.handle.net/1903/18290.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Burghardt, Keith A. “THE PHYSICS OF IDEAS: INFERRING THE MECHANICS OF OPINION FORMATION FROM MACROSCOPIC STATISTICAL PATTERNS.” 2016. Web. 02 Mar 2021.
Vancouver:
Burghardt KA. THE PHYSICS OF IDEAS: INFERRING THE MECHANICS OF OPINION FORMATION FROM MACROSCOPIC STATISTICAL PATTERNS. [Internet] [Thesis]. University of Maryland; 2016. [cited 2021 Mar 02].
Available from: http://hdl.handle.net/1903/18290.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Burghardt KA. THE PHYSICS OF IDEAS: INFERRING THE MECHANICS OF OPINION FORMATION FROM MACROSCOPIC STATISTICAL PATTERNS. [Thesis]. University of Maryland; 2016. Available from: http://hdl.handle.net/1903/18290
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Boston University
13.
Zubillaga Herrera, Bernardo José.
The statistical mechanics of societies: opinion formation dynamics and financial markets.
Degree: PhD, Physics, 2020, Boston University
URL: http://hdl.handle.net/2144/41703
► This work proposes a three-state microscopic opinion formation model based on the stochastic dynamics of the three-state majority-vote model. In order to mimic the heterogeneous…
(more)
▼ This work proposes a three-state microscopic
opinion formation model based on the stochastic
dynamics of the three-state majority-vote model. In order to mimic the heterogeneous compositions of societies, the agent-based model considers two different types of individuals: noise agents and contrarians. We propose an extension of the
model for the simulation of the
dynamics of financial markets.
Agents are represented as nodes in a network of interactions and they can assume any of three distinct possible states (e.g. buy, sell or remain inactive, in a financial context). The time evolution of the state of an agent is dictated by probabilistic
dynamics that include both local and global influences. A noise agent is
subject to local interactions, tending to assume the majority state of its nearest neighbors with probability 1-q (dissenting from it with a probability given by the noise parameter q). A contrarian is
subject to a global interaction with the society as a whole, tending to assume the state of the global minority of said society with probability 1 -q
(dissenting from it with probability q).
The stochastic
dynamics are simulated on complex networks of different topologies, including square lattices, Barabási-Albert networks, Erdös-Rényi random graphs and small-world networks built according to a link rewiring scheme.
We perform Monte Carlo simulations to study the second-order phase transition of the system on small-world networks. We perform finite-size scaling analysis and calculate the phase diagram of the system, as well as the standard critical exponents for different values of the rewiring probability. We conclude that the rewiring of the lattice drives the system to different universality classes than that of the three-state majority-vote model on a two dimensional square lattice.
The model’s extension for financial markets exhibits the typical qualitative and quantitative features of real financial time series, including heavy-tailed return distributions, volatility clustering and long-term memory for the absolute values of the returns. The histograms of returns are fitted by means of coupled exponential distributions, quantitatively revealing transitions between leptokurtic, mesokurtic and platykurtic regimes in terms of a nonlinear statistical coupling and a shape parameter which describe the complexity of the system.
Advisors/Committee Members: Ruckenstein, Andrei E. (advisor).
Subjects/Keywords: Statistical physics; Complex networks; Complex systems; Econophysics; Opinion formation dynamics; Phase transitions; Sociophysics
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APA ·
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MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Zubillaga Herrera, B. J. (2020). The statistical mechanics of societies: opinion formation dynamics and financial markets. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/41703
Chicago Manual of Style (16th Edition):
Zubillaga Herrera, Bernardo José. “The statistical mechanics of societies: opinion formation dynamics and financial markets.” 2020. Doctoral Dissertation, Boston University. Accessed March 02, 2021.
http://hdl.handle.net/2144/41703.
MLA Handbook (7th Edition):
Zubillaga Herrera, Bernardo José. “The statistical mechanics of societies: opinion formation dynamics and financial markets.” 2020. Web. 02 Mar 2021.
Vancouver:
Zubillaga Herrera BJ. The statistical mechanics of societies: opinion formation dynamics and financial markets. [Internet] [Doctoral dissertation]. Boston University; 2020. [cited 2021 Mar 02].
Available from: http://hdl.handle.net/2144/41703.
Council of Science Editors:
Zubillaga Herrera BJ. The statistical mechanics of societies: opinion formation dynamics and financial markets. [Doctoral Dissertation]. Boston University; 2020. Available from: http://hdl.handle.net/2144/41703
14.
Huet, Sylvie.
Modèles individu-centrés de systèmes sociaux : micro-modèles hybrides inspirés des données simulant le développement rural ; dynamiques collectives de filtrage et / ou de rejet des messages : Individual based models of social systems : data driven hybrid micro-models of rural development and collective dynamics of filtering or rejecting messages.
Degree: Docteur es, Informatique, 2013, Université Blaise-Pascale, Clermont-Ferrand II
URL: http://www.theses.fr/2013CLF22332
► Cette thèse a pour objet la modélisation individu-centrée des systèmes sociaux. Une première partie orientée aide à la décision présente un modèle d’évolution des populations…
(more)
▼ Cette thèse a pour objet la modélisation individu-centrée des systèmes sociaux. Une première partie orientée aide à la décision présente un modèle d’évolution des populations rurales fortement inspiré des données. Une seconde partie, plus théorique, étudie divers mécanismes permettant à un individu d’accepter ou de résister à une influence sociale. Nous proposons tout d’abord un modèle individu-centré de la dynamique des municipalités rurales européennes, implémenté pour le département du Cantal. Nous proposons un nouvel algorithme de génération des populations initiales ne nécessitant pas d’échantillon de population (approche classique). Nous concevons et paramétrons un modèle de la dynamique de l’individu face au marché du travail basé sur les données de la « European Labour Force Survey ». Il inclut des heuristiques originales de transition d’états tel qu’actifs, inactifs, chômeurs, … prenant en compte l’âge, la profession et le secteur d’activité de l’individu. Nous déterminons les dynamiques non fondés sur des données individuelles en testant la capacité de dynamiques simples à produire des résultats proches des données agrégées disponibles. Est ainsi conçu un modèle de mobilité résidentielle, expliquant partiellement la migration et intégrant décision de déménager et choix d’une nouvelle résidence. La seconde partie de la thèse étudie les effets collectifs de différents mécanismes permettant aux individus de résister à ou d’accepter une influence sociale. Un premier mécanisme étudié est un filtre cognitif impliquant qu’un individu ne reçoit pas une information incongruente ou peu importante. Les individus « filtreurs » exhibent le biais de primauté car leur attitude n’est déterminée que par les premiers éléments reçus et se montrent négatifs alors que le message diffusé par un media est neutre. Le taux d’individus négatifs dans la population est accru ou diminuer par l’échange direct d’information entre les individus. Un second mécanisme est un rejet de la tentative d’influence qui mène l’individu à différencier davantage son attitude de celle de son interlocuteur. Il intervient lorsque l’individu éprouve un inconfort lié au fait qu’il est à la fois en accord et en désaccord avec son interlocuteur. Le couplage de ce rejet à un mécanisme d’attraction entre individus en accord entraîne un nombre moindre de groupes d’opinion différentes à l’échelle de la population (ie par rapport au nombre de groupes obtenus avec le seul mécanisme d’attraction).
This thesis is dedicated to individual-based modeling of social systems. While the first part is very practical, decision-support oriented, presenting a model which studies the evolution of a rural population, the second part is more theoretical, interested in various mechanisms allowing individual to accept or resist to social influence. Firstly, we propose an individual-based model of the European rural municipalities implemented for the French Cantal département. We use a new sample-free algorithm for generating the initial population, while classical methods…
Advisors/Committee Members: Gourgand, Michel (thesis director).
Subjects/Keywords: Modèle dynamique individu-centré; Dynamique d’opinion; Dynamique de population; Individual-based model; Opinion dynamics; Population dynamics
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APA ·
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Export
to Zotero / EndNote / Reference
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APA (6th Edition):
Huet, S. (2013). Modèles individu-centrés de systèmes sociaux : micro-modèles hybrides inspirés des données simulant le développement rural ; dynamiques collectives de filtrage et / ou de rejet des messages : Individual based models of social systems : data driven hybrid micro-models of rural development and collective dynamics of filtering or rejecting messages. (Doctoral Dissertation). Université Blaise-Pascale, Clermont-Ferrand II. Retrieved from http://www.theses.fr/2013CLF22332
Chicago Manual of Style (16th Edition):
Huet, Sylvie. “Modèles individu-centrés de systèmes sociaux : micro-modèles hybrides inspirés des données simulant le développement rural ; dynamiques collectives de filtrage et / ou de rejet des messages : Individual based models of social systems : data driven hybrid micro-models of rural development and collective dynamics of filtering or rejecting messages.” 2013. Doctoral Dissertation, Université Blaise-Pascale, Clermont-Ferrand II. Accessed March 02, 2021.
http://www.theses.fr/2013CLF22332.
MLA Handbook (7th Edition):
Huet, Sylvie. “Modèles individu-centrés de systèmes sociaux : micro-modèles hybrides inspirés des données simulant le développement rural ; dynamiques collectives de filtrage et / ou de rejet des messages : Individual based models of social systems : data driven hybrid micro-models of rural development and collective dynamics of filtering or rejecting messages.” 2013. Web. 02 Mar 2021.
Vancouver:
Huet S. Modèles individu-centrés de systèmes sociaux : micro-modèles hybrides inspirés des données simulant le développement rural ; dynamiques collectives de filtrage et / ou de rejet des messages : Individual based models of social systems : data driven hybrid micro-models of rural development and collective dynamics of filtering or rejecting messages. [Internet] [Doctoral dissertation]. Université Blaise-Pascale, Clermont-Ferrand II; 2013. [cited 2021 Mar 02].
Available from: http://www.theses.fr/2013CLF22332.
Council of Science Editors:
Huet S. Modèles individu-centrés de systèmes sociaux : micro-modèles hybrides inspirés des données simulant le développement rural ; dynamiques collectives de filtrage et / ou de rejet des messages : Individual based models of social systems : data driven hybrid micro-models of rural development and collective dynamics of filtering or rejecting messages. [Doctoral Dissertation]. Université Blaise-Pascale, Clermont-Ferrand II; 2013. Available from: http://www.theses.fr/2013CLF22332
15.
Savoy, Daniel Prata.
A dinâmica de opinião dos debates públicos em redes sociais complexas.
Degree: Mestrado, Sistemas Complexos, 2012, University of São Paulo
URL: http://www.teses.usp.br/teses/disponiveis/100/100132/tde-04022013-114700/
;
► Neste trabalho são estudados os efeitos, causados por variações na topologia de rede, no comportamento de quatro modelos de dinâmica de opinião: o Modelo Votante,…
(more)
▼ Neste trabalho são estudados os efeitos, causados por variações na topologia de rede, no comportamento de quatro modelos de dinâmica de opinião: o Modelo Votante, o Modelo Confiança Limitada, o Modelo da Regra da Maioria e o Modelo CODA. Primeiramente estes modelos são utilizados em simulações que usam uma série de diversas redes sociais complexas, geradas para apresentar diferentes combinações de valores de certas propriedades chave, como aglomeração, conectividade, assortatividade e distâncias internas. Em seguida, são realizados experimentos que mostram como a topologia influencia os resultados na modelagem de cenários de debates públicos, onde duas opiniões rivais, A e B, disputam sob condições desiguais o consenso de uma população simulada.
This work studies the effects caused by variations in network topology in the behavior of four different models of opinion dynamics: the Voter Model, Bounded Confidence Model, the Majority Rule Model and the CODA Model. First, these models are used in simulations over a number of different complex social networks, generated to show sereval combinations of key properties such as clustering, connectivity, assortativity and path distances. Then, we perform experiments that show how the topology influences the results in modeling scenarios of public debates, where two rival opinions, A and B, compete under unequal conditions for the consensus of a simulated population.
Advisors/Committee Members: Martins, Andre Cavalcanti Rocha.
Subjects/Keywords: Complex networks; Complex systems; Dinâmica de opinião; Opinion dynamics; Redes complexas; Redes sociais; Simulação social; Sistemas complexos; Social networks; Social simulation
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APA ·
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MLA ·
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Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Savoy, D. P. (2012). A dinâmica de opinião dos debates públicos em redes sociais complexas. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/100/100132/tde-04022013-114700/ ;
Chicago Manual of Style (16th Edition):
Savoy, Daniel Prata. “A dinâmica de opinião dos debates públicos em redes sociais complexas.” 2012. Masters Thesis, University of São Paulo. Accessed March 02, 2021.
http://www.teses.usp.br/teses/disponiveis/100/100132/tde-04022013-114700/ ;.
MLA Handbook (7th Edition):
Savoy, Daniel Prata. “A dinâmica de opinião dos debates públicos em redes sociais complexas.” 2012. Web. 02 Mar 2021.
Vancouver:
Savoy DP. A dinâmica de opinião dos debates públicos em redes sociais complexas. [Internet] [Masters thesis]. University of São Paulo; 2012. [cited 2021 Mar 02].
Available from: http://www.teses.usp.br/teses/disponiveis/100/100132/tde-04022013-114700/ ;.
Council of Science Editors:
Savoy DP. A dinâmica de opinião dos debates públicos em redes sociais complexas. [Masters Thesis]. University of São Paulo; 2012. Available from: http://www.teses.usp.br/teses/disponiveis/100/100132/tde-04022013-114700/ ;
16.
Batista, João Luiz Bunoro.
Dinâmica de opinião de Krause-Hegselmann em redes complexas.
Degree: Mestrado, Física Aplicada, 2012, University of São Paulo
URL: http://www.teses.usp.br/teses/disponiveis/76/76132/tde-18032013-163714/
;
► Fenômenos coletivos em redes sociais como a formação de linguagem ou cultura, crenças, emergência de consenso em relação a algum assunto, aquisição de conhecimento e…
(more)
▼ Fenômenos coletivos em redes sociais como a formação de linguagem ou cultura, crenças, emergência de consenso em relação a algum assunto, aquisição de conhecimento e aprendizagem, dentre outros, tem conduzido a um grande interesse no estudo de comportamentos cooperativos e fenômenos sociais, resultando numa grande variedade de dinâmicas de opinião. Nestes modelos, uma população de agentes interagentes carrega uma variável (ou um conjunto delas) numérica cujo valor representa uma opinião sobre um tópico, com interpretações distintas em cada contexto. Inspirados em conceitos de mecânica estatística e mecanismos sociais, estes estados evoluem governados por regras matemáticas que controlam a dinâmica de interação entre os agentes e a influência de fatores externos. Outro ingrediente importante na modelagem de sistemas reais é que a representação das interações entre agentes difere bastante de reticulados ou misturas homogêneas, sendo mais bem descritas por redes complexas. Neste trabalho, estudamos a dinâmica de opinião de Krause e Hegselmann. Neste modelo, agentes possuem opiniões que assumem valores contínuos e são atualizados de acordo com a vizinhança compatível, definida pelo princípio da confiança limitada. Após apresentar uma revisão da literatura, estudamos a dinâmica de opinião no contexto de Redes Complexas, seguido de modificações do modelo que consideram a ação de ruído e campo externo (propaganda). Finalmente, propomos um modelo de consenso cuja interpretação está inserida no contexto de aquisição de conhecimento por agentes interagentes que realizam observações sujeitas a erros. Os resultados mostram como os diferentes tipos de topologia influenciam no comportamento das dinâmicas.
Collective phenomena in social networks such as formation of language or culture, beliefs, emergence of consensus on any subject, knowledge acquisition and learning, among others, has led to an increasing interest in the study of cooperative behavior and social phenomena, resulting in great variety of opinion dynamics. In these models, a population of interacting agents holds a variable (or a set of them) whose numerical value is an opinion on a topic, with different interpretations in each context. Inspired by concepts from statistical mechanics and social mechanisms, these states evolve governed by mathematical rules that control the dynamics of interaction between agents and the influence of external factors. Another important ingredient in the modeling of real systems is the representation of the interactions between agents, which strongly differs from lattices or fully mixed states, being better described by complex networks. In the present work, we study the opinion dynamics of Krause and Hegselmann. In this model, agents hold opinions that assume continuous values and are updated according to their compatible neighborhood, defined by the bounded confidence principle. After presenting a literature review, we studied the opinion dynamics in the context of complex networks, followed by modifications of the model…
Advisors/Committee Members: Costa, Luciano da Fontoura.
Subjects/Keywords: Collective phenomena; Complex networks; Dinâmicas de opinião; Fenômenos coletivos; Krause-Hegselmann; Krause-Hegselmann; Opinion dynamics; Redes complexas
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APA (6th Edition):
Batista, J. L. B. (2012). Dinâmica de opinião de Krause-Hegselmann em redes complexas. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/76/76132/tde-18032013-163714/ ;
Chicago Manual of Style (16th Edition):
Batista, João Luiz Bunoro. “Dinâmica de opinião de Krause-Hegselmann em redes complexas.” 2012. Masters Thesis, University of São Paulo. Accessed March 02, 2021.
http://www.teses.usp.br/teses/disponiveis/76/76132/tde-18032013-163714/ ;.
MLA Handbook (7th Edition):
Batista, João Luiz Bunoro. “Dinâmica de opinião de Krause-Hegselmann em redes complexas.” 2012. Web. 02 Mar 2021.
Vancouver:
Batista JLB. Dinâmica de opinião de Krause-Hegselmann em redes complexas. [Internet] [Masters thesis]. University of São Paulo; 2012. [cited 2021 Mar 02].
Available from: http://www.teses.usp.br/teses/disponiveis/76/76132/tde-18032013-163714/ ;.
Council of Science Editors:
Batista JLB. Dinâmica de opinião de Krause-Hegselmann em redes complexas. [Masters Thesis]. University of São Paulo; 2012. Available from: http://www.teses.usp.br/teses/disponiveis/76/76132/tde-18032013-163714/ ;
17.
Schweighofer, Simon.
Affective, Cognitive, and Social Identity Related Factors of Political Polarization.
Degree: 2018, ETH Zürich
URL: http://hdl.handle.net/20.500.11850/256680
► Recent decades have seen a rise in polarization in many countries, but the causes and mechanisms behind this rise are still heavily debated. Even though…
(more)
▼ Recent decades have seen a rise in polarization in many countries, but the causes and mechanisms behind this rise are still heavily debated. Even though polarization is reliably connected to extreme affect and elevated social identity salience, these connections have been treated as ephemeral by most researchers. In this thesis, we identify affect and social identity as central drivers of political polarization. Our methodological approach is both theory-driven and data-driven. By combining theories from psychology and political science, we develop a theoretical perspective that links affect to cognitive processes and social identity, and, via interactions, relations and communication, to the emergence of polarization on the collective level. To test this theoretical framework, we apply state-of-the-art statistical, affect detection and natural language processing methods to large-scale datasets from various online media, political surveys, as well as a unique dataset covering 96 years of political interactions in the Swiss parliament. We also contribute to political science methodology by developing theoretically grounded measures of relational polarization. Our analyses reveal how affect influences cognitive processes in ways that, depending on the specific affective state, either lead to thorough evaluation and complex processing of political arguments, or to reliance on simple cognitive heuristics and group membership cues. In online discussion, the effect of affect is reinforced by affect sharing and the concomitant emergence of collective affect. In this way, online discussions can tilt into states dominated by extreme affective expressions, and characterized by repetitive and superficial argumentation, which in turn promotes the emergence of polarization. We also explore how properties of online media, such as character constraints, facilitate the sharing of affect, and thus might contribute to polarization. On the political macro-level, we can show how affect interacts with characteristics of the political situation to influence long-term trends in polarization. When power is monopolized and public resources are scarce, both extreme affect and polarization increase. Power sharing and economic prosperity, in contrast, lead to periods of political harmony. Finally, we demonstrate how, by implementing psychologically founded micro-mechanisms, the alignment and polarization of ideological positions can be reproduced with an agent based model. Again, affect is identified as the central driver of ideological alignment and polarization. In conclusion, through this thesis we contribute to polarization research in three ways: i) by advancing the conceptual understanding of polarization by merging theoretical perspectives from psychology and political science, ii) by expanding the methodological tool set of these disciplines, and iii) by compiling several unique large-scale datasets, which will be made available to the research community.
Advisors/Committee Members: Schweitzer, Frank, Rimé, Bernard.
Subjects/Keywords: POLITICAL SYSTEMS (POLITICS); Polarization; Agent based modelling; Opinion Dynamics; OPINION FORMATION + OPINION CHANGE (SOCIOLOGY); EMOTIONAL PERCEPTION + EMOTIONAL BEHAVIOUR (PSYCHOLOGY); Affecive Intelligence Theory; SOCIAL NETWORKS + WEBCOMMUNITIES + SOCIAL SOFTWARE (SOCIOLOGY); Social identity; GROUP CONFLICTS AND CONFLICT RESOLUTION (SOCIOLOGY); info:eu-repo/classification/ddc/320; Political science
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APA ·
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MLA ·
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APA (6th Edition):
Schweighofer, S. (2018). Affective, Cognitive, and Social Identity Related Factors of Political Polarization. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/256680
Chicago Manual of Style (16th Edition):
Schweighofer, Simon. “Affective, Cognitive, and Social Identity Related Factors of Political Polarization.” 2018. Doctoral Dissertation, ETH Zürich. Accessed March 02, 2021.
http://hdl.handle.net/20.500.11850/256680.
MLA Handbook (7th Edition):
Schweighofer, Simon. “Affective, Cognitive, and Social Identity Related Factors of Political Polarization.” 2018. Web. 02 Mar 2021.
Vancouver:
Schweighofer S. Affective, Cognitive, and Social Identity Related Factors of Political Polarization. [Internet] [Doctoral dissertation]. ETH Zürich; 2018. [cited 2021 Mar 02].
Available from: http://hdl.handle.net/20.500.11850/256680.
Council of Science Editors:
Schweighofer S. Affective, Cognitive, and Social Identity Related Factors of Political Polarization. [Doctoral Dissertation]. ETH Zürich; 2018. Available from: http://hdl.handle.net/20.500.11850/256680
18.
Wang, Chu.
Collective Behavior in Network-Based Dynamical Systems
.
Degree: PhD, 2016, Princeton University
URL: http://arks.princeton.edu/ark:/88435/dsp01db78tf508
► This thesis investigates the emergence of collective behavior in network-based dynamical systems. By focusing successively on inertial Hegselmann-Krause (HK) systems, noisy HK systems, and network-based…
(more)
▼ This thesis investigates the emergence of collective behavior in network-based dynamical systems. By focusing successively on inertial Hegselmann-Krause (HK) systems, noisy HK systems, and network-based iterated learning mechanisms, we are able to uncover deep relations in the system
dynamics and resolve open problems of long standing.
We introduce inertial HK systems as variants of the classic HK model in which the agents can change their weights arbitrarily at each step. We derive an energy bound for these systems via an algorithmic proof, which can be interpreted as a time-dependent message-passing protocol designed to track the moving “potentials” of the agents. Building on this relation, we resolve a long-standing open problem: the convergence of HK systems in the presence of closed-minded agents. To investigate the effects of noise on network-based
dynamics, we introduce noisy HK systems, which model in a time-continuous framework the tension between two competing forces: the attraction between agents with similar opinions and the diffusion caused by the noise. Using perturbation analysis of the system’s mean-field limiting Fokker-Planck equation, we provide a theoretical explanation for the celebrated 2R conjecture, which states that, for a random initial distribution in a fixed interval, the final configuration consists of clusters separated by a distance of roughly 2R.
In the last part of the thesis, we formalize the iterated learning problem within a network-based dynamical system framework. In its sequential setting, the belief of the learner is found to converge exponentially fast to their prior distribution if the amount of information transferred in each step remains the same. We demonstrate that, by increasing the data transferred at each step logarithmically, the original information can be sustained with arbitrary accuracy. In a social learning setting in which the learners are truth-seeking, we prove the convergence of the learners’ beliefs to the truth and, in the process, explore the relationship between the convergence rate and the degree centrality of the communication graphs.
Advisors/Committee Members: Chazelle, Bernard (advisor).
Subjects/Keywords: collective behavior;
iterated learning;
multi-agent dynamics;
opinion dynamics
…55
4 The Effect of Noise In Opinion Dynamics
59
4.1
The Model… …Bibliography
134
ix
List of Tables
x
List of Figures
1.1
An example of opinion dynamics for… …network-based dynamical systems
are ubiquitous in opinion dynamics, flocking theory, self… …Some motivational applications for
our work are discussed in the following.
Opinion dynamics… …has 3 friends: agent 4, 6 and
Figure 1.1: An example of opinion dynamics for risk…
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APA (6th Edition):
Wang, C. (2016). Collective Behavior in Network-Based Dynamical Systems
. (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01db78tf508
Chicago Manual of Style (16th Edition):
Wang, Chu. “Collective Behavior in Network-Based Dynamical Systems
.” 2016. Doctoral Dissertation, Princeton University. Accessed March 02, 2021.
http://arks.princeton.edu/ark:/88435/dsp01db78tf508.
MLA Handbook (7th Edition):
Wang, Chu. “Collective Behavior in Network-Based Dynamical Systems
.” 2016. Web. 02 Mar 2021.
Vancouver:
Wang C. Collective Behavior in Network-Based Dynamical Systems
. [Internet] [Doctoral dissertation]. Princeton University; 2016. [cited 2021 Mar 02].
Available from: http://arks.princeton.edu/ark:/88435/dsp01db78tf508.
Council of Science Editors:
Wang C. Collective Behavior in Network-Based Dynamical Systems
. [Doctoral Dissertation]. Princeton University; 2016. Available from: http://arks.princeton.edu/ark:/88435/dsp01db78tf508
Indian Institute of Science
19.
Shiragur, Kirankumar Shivanand.
Variants of Hegselmann-Krause Model.
Degree: MSc Engg, Faculty of Engineering, 2017, Indian Institute of Science
URL: http://etd.iisc.ac.in/handle/2005/2863
► The Hegselmann-Krause system (HK system for short) is one of the most popular models for the dynamics of opinion formation in multi agent systems. Agents…
(more)
▼ The Hegselmann-Krause system (HK system for short) is one of the most popular models for the
dynamics of
opinion formation in multi agent systems. Agents are modeled as points in
opinion space, and at every time step, each agent moves to the mass center of all the agents within unit distance. The rate of convergence of HK systems has been the
subject of several recent works and the current best bounds are O(n3) in one dimension and O(n4) in higher dimension where n being the number of agents.
In this work, we investigate the convergence behavior of a few natural variations of the HK system and their e act on the
dynamics. In the rest variation, we only allow pairs of agents who are friends in an underlying social network to communicate with each other and we can construct conjurations. In the second variation, only one of the agents updates its position at each time step and selection of such an agent may be at random or based on some preened order; as before, these updates of agents also take social information into consideration. In the third variant, agents may not move exactly to the mass center but somewhere close to it. In the fourth variant, we allow all agents to interact with one another, but instead of assigning equal weights to all neighbors as in the HK model, we assign Gaussian weights which are inversely proportional to the distance between agents. In the fifth variant, we consider the Synchronized Bounded In hence model where the agents have in hence bounds instead of con dance bounds, which changes the way agents interact with each other. In our nil variant, we consider the
dynamics of HK systems with strategic agents where we have an additional set of agents called as strategic agents whose opinions are chosen freely at each time step. One of the goals using these strategic agents is to lower the convergence time.
The
dynamics of all the variants are qualitatively very different from that of the classical HK system. Nevertheless, we prove convergence or show some other interesting results for all of these models. To be more specific, for the rest and third variant we show that these systems make only polynomial number of non-trivial steps, regardless of the social network in the rest vary-ant and noise patterns in the third variant. For the second variant, however, we again show polynomial number of non-trivial steps but in expectation regardless of the social network and interestingly different
dynamics. For the fourth variant, we prove an upper bound for the convergence time of Gaussian weighted HK model. For the fifth variant, we consider a special case of this SBI model and prove convergence for this case. For the final variant, we improve the existing results for the optimal convergence time for dumb-bell and equidistant configurations.
Advisors/Committee Members: Bhattacharyya, Arnab (advisor).
Subjects/Keywords: Computer Modelling and Simulation; Hegselmann-Krause Model; Strategic Agents; Hegselmann-Krause Dynamics; Natural Algorithms; Opinion Dynamics; Influence Systems; Hegselmann-Krause System; HK Model; Computer Science and Automation
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APA (6th Edition):
Shiragur, K. S. (2017). Variants of Hegselmann-Krause Model. (Masters Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/2863
Chicago Manual of Style (16th Edition):
Shiragur, Kirankumar Shivanand. “Variants of Hegselmann-Krause Model.” 2017. Masters Thesis, Indian Institute of Science. Accessed March 02, 2021.
http://etd.iisc.ac.in/handle/2005/2863.
MLA Handbook (7th Edition):
Shiragur, Kirankumar Shivanand. “Variants of Hegselmann-Krause Model.” 2017. Web. 02 Mar 2021.
Vancouver:
Shiragur KS. Variants of Hegselmann-Krause Model. [Internet] [Masters thesis]. Indian Institute of Science; 2017. [cited 2021 Mar 02].
Available from: http://etd.iisc.ac.in/handle/2005/2863.
Council of Science Editors:
Shiragur KS. Variants of Hegselmann-Krause Model. [Masters Thesis]. Indian Institute of Science; 2017. Available from: http://etd.iisc.ac.in/handle/2005/2863
20.
Zhu, Yueying.
Investigation on uncertainty and sensitivity analysis of complex systems : Enquête sur l'incertitude et l'analyse de sensibilité des systèmes complexes.
Degree: Docteur es, Physique, 2017, Le Mans
URL: http://www.theses.fr/2017LEMA1021
► Par un développement en série de Taylor, une relation analytique générale est établie pour calculer l’incertitude de la réponse du modèle, en assumant l'indépendance des…
(more)
▼ Par un développement en série de Taylor, une relation analytique générale est établie pour calculer l’incertitude de la réponse du modèle, en assumant l'indépendance des entrées. En utilisant des relations de puissances et exponentielles, il est démontré que l’approximation souvent utilisée permet d’évaluer de manière satisfaisante l’incertitude sur la réponse du modèle pourvu que l’incertitude d’entrée soit négligeable ou que le modèle soit presque linéaire. La méthode est appliquée à l’étude d’un réseau de distribution électrique et à un modèle d’ordre économique.La méthode est étendue aux cas où les variables d’entrée sont corrélées. Avec la méthode généralisée, on peux déterminer si les corrélations d'entrée doivent ou non être considérées pour des applications pratiques. Des exemples numériques montrent l'efficacité et la validation de notre méthode dans l'analyse des modèles tant généraux que spécifiques tels que le modèle déterministe du VIH. La méthode est ensuite comparée à celle de Sobol. Les résultats montrent que la méthode de Sobol peut surévaluer l’incidence des divers facteurs, mais sous-estimer ceux de leurs interactions dans le cas d’interactions non linéaires entre les paramètres d’entrée. Une modification est alors introduite, aidant à comprendre la différence entre notre méthode et celle de Sobol. Enfin, un modèle numérique est établi dans le cas d’un jeu virtuel prenant en compte la formation de la dynamique de l'opinion publique. L’analyse théorique à l’aide de la méthode de modification d'un paramètre à la fois. La méthode basée sur l'échantillonnage fournit une analyse globale de l'incertitude et de la sensibilité des observations.
By means of taylor series expansion, a general analytic formula is derived to characterise the uncertaintypropagation from input variables to the model response,in assuming input independence. By using power-lawand exponential functions, it is shown that the widelyused approximation considering only the first ordercontribution of input uncertainty is sufficiently good onlywhen the input uncertainty is negligible or the underlyingmodel is almost linear. This method is then applied to apower grid system and the eoq model.The method is also extended to correlated case. Withthe extended method, it is straightforward to identify theimportance of input correlations in the model response.This allows one to determine whether or not the inputcorrelations should be considered in practicalapplications. Numerical examples suggest theeffectiveness and validation of our method for generalmodels, as well as specific ones such as thedeterministic hiv model.The method is then compared to Sobol’s one which isimplemented with sampling based strategy. Resultsshow that, compared to our method, it may overvaluethe roles of individual input factors but underestimatethose of their interaction effects when there arenonlinear coupling terms of input factors. A modificationis then introduced, helping understand the differencebetween our method and Sobol’s one.Finally, a numerical model is…
Advisors/Committee Members: Wang, Qiuping Alexandre (thesis director), Bulou, Alain (thesis director).
Subjects/Keywords: Analyse d’incertitude; Analyse de sensibilité; Décomposition de variance; Echantillonnage; Corrélation; Mesure de sensibilité; Dynamique d’opinion; Uncertainty analysis; Sensitivity analysis; Variance decomposition; Sampling; Correlation; Sensitivity measure; Opinion dynamics; 003
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APA ·
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Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Zhu, Y. (2017). Investigation on uncertainty and sensitivity analysis of complex systems : Enquête sur l'incertitude et l'analyse de sensibilité des systèmes complexes. (Doctoral Dissertation). Le Mans. Retrieved from http://www.theses.fr/2017LEMA1021
Chicago Manual of Style (16th Edition):
Zhu, Yueying. “Investigation on uncertainty and sensitivity analysis of complex systems : Enquête sur l'incertitude et l'analyse de sensibilité des systèmes complexes.” 2017. Doctoral Dissertation, Le Mans. Accessed March 02, 2021.
http://www.theses.fr/2017LEMA1021.
MLA Handbook (7th Edition):
Zhu, Yueying. “Investigation on uncertainty and sensitivity analysis of complex systems : Enquête sur l'incertitude et l'analyse de sensibilité des systèmes complexes.” 2017. Web. 02 Mar 2021.
Vancouver:
Zhu Y. Investigation on uncertainty and sensitivity analysis of complex systems : Enquête sur l'incertitude et l'analyse de sensibilité des systèmes complexes. [Internet] [Doctoral dissertation]. Le Mans; 2017. [cited 2021 Mar 02].
Available from: http://www.theses.fr/2017LEMA1021.
Council of Science Editors:
Zhu Y. Investigation on uncertainty and sensitivity analysis of complex systems : Enquête sur l'incertitude et l'analyse de sensibilité des systèmes complexes. [Doctoral Dissertation]. Le Mans; 2017. Available from: http://www.theses.fr/2017LEMA1021
Université de Lorraine
21.
Dietrich, Florian.
Analyse et contrôle de systèmes de dynamiques d'opinions : Analysis and control of opinion dynamics.
Degree: Docteur es, Automatique, Traitement du signal et des images, Génie informatique, 2017, Université de Lorraine
URL: http://www.theses.fr/2017LORR0214
► Les dynamiques d'opinions suscitent un regain d'intérêt de la part des communautés d'Automatique et de Mathématiques Appliquées. Cela peut s'expliquer par l'émergence des réseaux sociaux…
(more)
▼ Les dynamiques d'opinions suscitent un regain d'intérêt de la part des communautés d'Automatique et de Mathématiques Appliquées. Cela peut s'expliquer par l'émergence des réseaux sociaux en ligne et de la possibilité d'exploiter et comprendre les comportements et données associés. Les modèles de dynamiques d'opinions sont des cas particuliers de systèmes multi-agents. Ces systèmes ont des applications diverses comme par exemple le contrôle du comportement d'une flotte de robots collaboratifs. Un système de dynamique d'opinions est ainsi constitué de plusieurs agents. L'état de chaque agent est alors modélisé par un réel qui représente l'opinion de celui-ci à propos d'un certain sujet. Les modèles mathématiques de dynamiques d'opinions décrivent alors l'évolution des opinions des agents dans le temps. De nombreux résultats ont été obtenus sur le régime asymptotique de ces systèmes, notamment sur la convergence vers le consensus, lorsque les opinions de tous les agents du système tendent vers la même valeur. Le régime transitoire, moins bien connu, présente également des phénomènes intéressants comme la formation d'accords locaux transitoires mais qui sont plus délicats à définir. Une étude de ces phénomènes est présentée pour des systèmes de dynamiques d'opinions à temps discret avec fonctions d'influence génériques dépendant de l'état. La contribution principale propose un critère de détection de la formation de ces accords locaux, ainsi que la prédiction de la durée pendant laquelle ce critère est vérifié. La seconde partie de cette thèse se concentre sur les dynamiques d'opinions en temps continu dont un des agents, appelé leader, a un rôle particulier : l'évolution de son opinion est contrôlable. Le leader est utilisé pour rassembler tous les agents dans son voisinage en temps fini, puis pour les amener vers une valeur de consensus désirée. La loi de commande proposée est valide pour des systèmes à fonctions d'influence dépendant du temps et de l'état et sous certaines conditions. De plus, le problème de contrôle en temps optimal consistant à rassembler tous les agents dans le voisinage du leader en temps minimal est examiné. Ceci est effectué dans le cas particulier de fonctions d'influence dépendant uniquement de l'état. Afin de déterminer la classe des commandes optimales admissible, le Principe du Maximum de Pontryagin est utilisé. Dans un cadre général, la commande optimale est précisée sous la forme de relations implicites. Pour le cas particulier où il n'y a pas d'interaction entre les agents, la loi de commande en temps optimal a été obtenue en pratique pour toute condition initiale
Opinion dynamics systems aroused renewed interest in the Control System Theory and Applied Mathematics communities. This can be explained by the emergence of online social networks and the possibility of exploiting and understanding associated behaviours and data. Opinion dynamic models are special cases of multi-agent systems. These systems have various applications such as controlling the behaviour of a fleet of…
Advisors/Committee Members: Jungers, Marc (thesis director), Martin, Samuel (thesis director).
Subjects/Keywords: Dynamiques d'opinions; Systèmes multi-agents; Clusters transitoires; Commande par un leader; Commande optimale; Opinion dynamics; Multi-agent systems; Transient clusters; Control via leader; Optimal control; 004.36; 629.8
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APA ·
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APA (6th Edition):
Dietrich, F. (2017). Analyse et contrôle de systèmes de dynamiques d'opinions : Analysis and control of opinion dynamics. (Doctoral Dissertation). Université de Lorraine. Retrieved from http://www.theses.fr/2017LORR0214
Chicago Manual of Style (16th Edition):
Dietrich, Florian. “Analyse et contrôle de systèmes de dynamiques d'opinions : Analysis and control of opinion dynamics.” 2017. Doctoral Dissertation, Université de Lorraine. Accessed March 02, 2021.
http://www.theses.fr/2017LORR0214.
MLA Handbook (7th Edition):
Dietrich, Florian. “Analyse et contrôle de systèmes de dynamiques d'opinions : Analysis and control of opinion dynamics.” 2017. Web. 02 Mar 2021.
Vancouver:
Dietrich F. Analyse et contrôle de systèmes de dynamiques d'opinions : Analysis and control of opinion dynamics. [Internet] [Doctoral dissertation]. Université de Lorraine; 2017. [cited 2021 Mar 02].
Available from: http://www.theses.fr/2017LORR0214.
Council of Science Editors:
Dietrich F. Analyse et contrôle de systèmes de dynamiques d'opinions : Analysis and control of opinion dynamics. [Doctoral Dissertation]. Université de Lorraine; 2017. Available from: http://www.theses.fr/2017LORR0214
22.
Kroese, K.
Coupling spatial and social networks in models of opinion dynamics.
Degree: 2015, Universiteit Utrecht
URL: http://dspace.library.uu.nl:8080/handle/1874/320676
► This thesis is focussing on coupling social and spatial networks in models of opinion dynamics. The research on spatial aspects and social networks in models…
(more)
▼ This thesis is focussing on coupling social and spatial networks in models of
opinion dynamics. The research on spatial aspects and social networks in models of
opinion dynamics is limited. In order to complement the existing research a literature study is performed. The outcomes of the literature study are used to develop and implement a model of
opinion dynamics in which social and spatial networks are coupled. A sensitivity analysis was performed to help interpreting the results better. An analysis of the plausibility resulted in the conclusion that the model in general can be considered as plausible.
Advisors/Committee Members: Ligtenberg, A..
Subjects/Keywords: Opinion dynamics; social network; spatial network; modelling; spatial planning
…complexity.
There is literature available that does focus on spatial aspects of opinion dynamics… …dynamics available. The most basic idea of opinion
dynamics is described by Hegselmann and Krause… …social networks to location in opinion dynamics. The problem being treated in this thesis is… …of opinion
dynamics.
Research objective
In the previous paragraph was concluded that, to… …opinion dynamics with social and spatial
networks. In this paragraph the research objectives…
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APA (6th Edition):
Kroese, K. (2015). Coupling spatial and social networks in models of opinion dynamics. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/320676
Chicago Manual of Style (16th Edition):
Kroese, K. “Coupling spatial and social networks in models of opinion dynamics.” 2015. Masters Thesis, Universiteit Utrecht. Accessed March 02, 2021.
http://dspace.library.uu.nl:8080/handle/1874/320676.
MLA Handbook (7th Edition):
Kroese, K. “Coupling spatial and social networks in models of opinion dynamics.” 2015. Web. 02 Mar 2021.
Vancouver:
Kroese K. Coupling spatial and social networks in models of opinion dynamics. [Internet] [Masters thesis]. Universiteit Utrecht; 2015. [cited 2021 Mar 02].
Available from: http://dspace.library.uu.nl:8080/handle/1874/320676.
Council of Science Editors:
Kroese K. Coupling spatial and social networks in models of opinion dynamics. [Masters Thesis]. Universiteit Utrecht; 2015. Available from: http://dspace.library.uu.nl:8080/handle/1874/320676
Australian National University
23.
Ye, Mengbin.
Opinion Dynamics and the Evolution of Social Power in Social Networks
.
Degree: 2018, Australian National University
URL: http://hdl.handle.net/1885/146402
► A fundamental aspect of society is the exchange and discussion of opinions between individuals, occurring in mediums and situations as varied as company boardrooms, elementary…
(more)
▼ A fundamental aspect of society is the exchange and discussion of
opinions between individuals, occurring in mediums and situations
as varied as company boardrooms, elementary school classrooms and
online social media. This thesis studies several mathematical
models of how an individual’s opinion(s) evolves via
interaction with others in a social network, developed to reflect
and capture different socio-psychological processes that occur
during the interactions.
In the first part, and inspired by Solomon E. Asch’s seminal
experiments on conformity, a novel discrete-time model of opinion
dynamics is proposed, with each individual having both an
expressed and a private opinion on the same topic. Crucially, an
individual’s expressed opinion is altered from the
individual’s private opinion due to pressures to conform to the
majority opinion of the social network. Exponential convergence
of the opinion dynamical system to a unique configuration is
established for general networks. Several conclusions are
established, including how differences between an individual’s
expressed and private opinions arise, and how to estimate
disagreement among the private opinions at equilibrium. Asch’s
experiments are revisited and re-examined, and then it is shown
that a few extremists can create “pluralistic ignorance”,
where people believe there is majority support for a position but
in fact the position is privately rejected by the majority of
individuals!
The second part builds on the recently proposed discrete-time
DeGroot–Friedkin model, which describes the evolution of an
individual’s self-confidence (termed social power) in his/her
opinion over the discussion of a sequence of issues. Using
nonlinear contraction analysis, exponential convergence to a
unique equilibrium is established for networks with constant
topology. Networks with issue-varying topology (which remain
constant for any given issue) are then studied; exponential
convergence to a unique limiting trajectory is established. In a
social context, this means that each individual forgets his/her
initial social power exponentially fast; in the limit, his/her
social power for a given issue depends only on the previously
occurring sequence of dynamic topology. Two further related works
are considered; a network modification problem, and a different
convergence proof based on Lefschetz Fixed Point Theory.
In the final part, a continuous-time model is proposed to capture
simultaneous discussion of logically interdependent topics; the
interdependence is captured by a “logic matrix”. When no
individual remains attached to his/her initial opinion, a
necessary and sufficient condition for the network to reach a
consensus of opinions is provided. This condition depends on the
interplay between the network interactions and the logic…
Subjects/Keywords: opinion dynamics;
social networks;
networked control systems;
multi-agent systems;
influence network;
networked systems;
systems and control;
Asch conformity experiments;
pluralistic ignorance;
social power;
DeGroot;
Friedkin
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APA ·
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MLA ·
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CSE |
Export
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Manager
APA (6th Edition):
Ye, M. (2018). Opinion Dynamics and the Evolution of Social Power in Social Networks
. (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/146402
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Ye, Mengbin. “Opinion Dynamics and the Evolution of Social Power in Social Networks
.” 2018. Thesis, Australian National University. Accessed March 02, 2021.
http://hdl.handle.net/1885/146402.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Ye, Mengbin. “Opinion Dynamics and the Evolution of Social Power in Social Networks
.” 2018. Web. 02 Mar 2021.
Vancouver:
Ye M. Opinion Dynamics and the Evolution of Social Power in Social Networks
. [Internet] [Thesis]. Australian National University; 2018. [cited 2021 Mar 02].
Available from: http://hdl.handle.net/1885/146402.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Ye M. Opinion Dynamics and the Evolution of Social Power in Social Networks
. [Thesis]. Australian National University; 2018. Available from: http://hdl.handle.net/1885/146402
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
24.
Kaisso, Nour.
Modeling the Dynamics of Opinion Change : when Individuals may have Different Overt and Covert Opinions.
Degree: Culture and Communication, 2019, Mälardalen University
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-45603
► This thesis aims to present and explore a mathematical model of attitude change within society. Building on the foundations set up by Lave and…
(more)
▼ This thesis aims to present and explore a mathematical model of attitude change within society. Building on the foundations set up by Lave and March [2] and Eriksson and Strimling [1] we propose a model which includes the possibility of having an overt as well as covert opinion by any individual on a given issue. We lay out the verbal and mathematical specifications for our model, interpret them in the framework of discrete-time dynamical systems and simulate the behavior using Matlab programming. Finally, we propose three conjectures based on the results of our simulations and proceed to subject two of them to further analytical treatment.
Subjects/Keywords: mathematical modeling of attitude change; overt and covert opinions; dynamics of opinion change in society; social desirability bias; cognitive dissonance; Mathematics; Matematik; Social Psychology; Socialpsykologi
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APA ·
Chicago ·
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APA (6th Edition):
Kaisso, N. (2019). Modeling the Dynamics of Opinion Change : when Individuals may have Different Overt and Covert Opinions. (Thesis). Mälardalen University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-45603
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Kaisso, Nour. “Modeling the Dynamics of Opinion Change : when Individuals may have Different Overt and Covert Opinions.” 2019. Thesis, Mälardalen University. Accessed March 02, 2021.
http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-45603.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Kaisso, Nour. “Modeling the Dynamics of Opinion Change : when Individuals may have Different Overt and Covert Opinions.” 2019. Web. 02 Mar 2021.
Vancouver:
Kaisso N. Modeling the Dynamics of Opinion Change : when Individuals may have Different Overt and Covert Opinions. [Internet] [Thesis]. Mälardalen University; 2019. [cited 2021 Mar 02].
Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-45603.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Kaisso N. Modeling the Dynamics of Opinion Change : when Individuals may have Different Overt and Covert Opinions. [Thesis]. Mälardalen University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-45603
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
25.
Barbet, Victorien.
Pluralisme et stabilité des organisations : modéliser la dynamique d'organisations démocratiques où plusieurs dimensions sont discutées : le cas des AMAP de Provence : Pluralism and stability of organizations : modeling dynamics of organizations under democratic settings in a context of multidimensionality based on a field study on French local short food chain and their structuration in non profit organizations.
Degree: Docteur es, Sciences économiques, 2018, Aix Marseille Université
URL: http://www.theses.fr/2018AIXM0626
► La présente thèse s'intéresse à l'évolution d'organisations à caractère démocratique ou ouvert, au travers de leur stabilité ainsi que d'autres caractéristiques comme leur capacité à…
(more)
▼ La présente thèse s'intéresse à l'évolution d'organisations à caractère démocratique ou ouvert, au travers de leur stabilité ainsi que d'autres caractéristiques comme leur capacité à fédérer, à satisfaire leurs membres ou pérenniser des situations de partage de risque entre agents hétérogènes. Les modèles proposés sont des modèles agents qui s'appuient sur une étude menée depuis 2004 par Juliette Rouchier sur les circuits courts agroalimentaires et particulièrement sur les Associations pour le Maintien d'une Agriculture Paysanne (AMAP) et leur structuration en réseaux d'AMAP à différentes échelles géographiques. La thèse suggère l'existence d'une tension entre la stabilité et la représentativité dans ce type d'organisations démocratiques et discute, dans plusieurs cas de figure, l'impact de différents facteurs sur cette tension comme le nombre de sujets discutés dans l'organisation, l'état d'esprit des membres, l'existence d'une communication structurée au sein de l'organisation, ou encore la répartition géographique des membres. Dans un second temps la thèse s'intéresse à des groupes de partage de risque entre agents hétérogènes, comme c'est le cas dans les AMAP entre producteurs et consommateurs. Elle suggère que l'apprentissage par les agents de leurs risques, c'est à dire de leurs préférences vis-à-vis des caractéristiques de leur organisation au cours du temps, pérennise un partage de risque complet entre des agents hétérogènes. De plus cet effet semble renforcé par l'introduction de préférences pour autrui, comme l'altruisme ou l'aversion aux inégalités.
This PhD thesis studies the evolution of organizations under democratic settings through their stability along with other characteristics like their representativeness, their capacity to satisfy their members or to ensure risk sharing agreement between heterogenous agents. Proposed models are agent based models grounded in a study, initiated by Juliette Rouchier in 2004, on short food chains and particularly on "Associations pour le Maintien d'une Agriculture Paysanne" (AMAP), the french equivalent of United States' Community Supported Agriculture (CSA) along with their structuration in AMAP' networks at different geographical levels. This PhD thesis suggests the existence of a tension between stability and representativeness under democratic settings and discusses, in different cases, the effect of several factors on this tension, like the number of topics discussed in the organization, the state of mind of members, the existence of structured communication, or the spatial repartition of members. In a second part, this Phd thesis deals with risk sharing groups between agents heterogenous in terms of risk exposures, as it is the case in AMAP between producers and consumers. It underlines how learning by agents of their risk exposures through times, which is equivalent here to constantly revise their preferences with respect to the characteristics of their organization, can stabilize risk-sharing groups mixing heterogenous agents and how this effect is…
Advisors/Committee Members: Rouchier, Juliette (thesis director).
Subjects/Keywords: Simulation Agents; Influence sociale; Démocratie; Organisations; Préférences pour autrui; Circuits courts agroalimentaires; Agent based modeling; Opinion dynamics; Democracy; Organizations; Other-Regarding-Preferences; Short food chains
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APA ·
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APA (6th Edition):
Barbet, V. (2018). Pluralisme et stabilité des organisations : modéliser la dynamique d'organisations démocratiques où plusieurs dimensions sont discutées : le cas des AMAP de Provence : Pluralism and stability of organizations : modeling dynamics of organizations under democratic settings in a context of multidimensionality based on a field study on French local short food chain and their structuration in non profit organizations. (Doctoral Dissertation). Aix Marseille Université. Retrieved from http://www.theses.fr/2018AIXM0626
Chicago Manual of Style (16th Edition):
Barbet, Victorien. “Pluralisme et stabilité des organisations : modéliser la dynamique d'organisations démocratiques où plusieurs dimensions sont discutées : le cas des AMAP de Provence : Pluralism and stability of organizations : modeling dynamics of organizations under democratic settings in a context of multidimensionality based on a field study on French local short food chain and their structuration in non profit organizations.” 2018. Doctoral Dissertation, Aix Marseille Université. Accessed March 02, 2021.
http://www.theses.fr/2018AIXM0626.
MLA Handbook (7th Edition):
Barbet, Victorien. “Pluralisme et stabilité des organisations : modéliser la dynamique d'organisations démocratiques où plusieurs dimensions sont discutées : le cas des AMAP de Provence : Pluralism and stability of organizations : modeling dynamics of organizations under democratic settings in a context of multidimensionality based on a field study on French local short food chain and their structuration in non profit organizations.” 2018. Web. 02 Mar 2021.
Vancouver:
Barbet V. Pluralisme et stabilité des organisations : modéliser la dynamique d'organisations démocratiques où plusieurs dimensions sont discutées : le cas des AMAP de Provence : Pluralism and stability of organizations : modeling dynamics of organizations under democratic settings in a context of multidimensionality based on a field study on French local short food chain and their structuration in non profit organizations. [Internet] [Doctoral dissertation]. Aix Marseille Université 2018. [cited 2021 Mar 02].
Available from: http://www.theses.fr/2018AIXM0626.
Council of Science Editors:
Barbet V. Pluralisme et stabilité des organisations : modéliser la dynamique d'organisations démocratiques où plusieurs dimensions sont discutées : le cas des AMAP de Provence : Pluralism and stability of organizations : modeling dynamics of organizations under democratic settings in a context of multidimensionality based on a field study on French local short food chain and their structuration in non profit organizations. [Doctoral Dissertation]. Aix Marseille Université 2018. Available from: http://www.theses.fr/2018AIXM0626
26.
Webster, Ariel.
Stability of certainty and opinion on influence networks.
Degree: Department of Computer Science, 2016, University of Victoria
URL: http://hdl.handle.net/1828/7183
► This thesis introduces a new model to the field of social dynamics in which each node in a network moves to the mass center of…
(more)
▼ This thesis introduces a new model to the field of social
dynamics in which each node in a network moves to the mass center of the opinions in its neighborhood weighted by the changing certainty each node has in its own
opinion. An upper bound of O(n) is proved for the number of timesteps until this model reaches a stable state. A second model is also analyzed in which nodes move to the mass center of the opinions of the nodes in their neighborhood unweighted by the certainty those nodes have in their opinions. This second model is shown to have a O(d) time complexity, where d is the diameter of the network, on a tree and is compared with a very similar model presented in 2013 by Frischknecht, Keller, and Wattenhofer who found a lower bound on some networks of Ω(3). 2
Advisors/Committee Members: Kapron, Bruce (supervisor), King, Valerie (supervisor).
Subjects/Keywords: Opinion Dynamics; Graph Theory; Influence Networks; Social Networks; Opinion; convergence; Stability; influence model; Rates of Convergence; Opinion Formation; Agent Based Modeling
…Majority
Rules Model bounds [22].
3
Chapter 2
Background
2.1
Opinion Dynamics… …Opinion Dynamics is a research field which utilizes mathematical and
physical models and… …change, and
spread their opinions.
The first paper in the field of opinion dynamics was… …opinion dynamics is
the degree to which agents are influenced by their neighbors. In the French… …categorized as opinion dynamics but epidemiology [46].
Finally, a stubborn agent is one…
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APA ·
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MLA ·
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Manager
APA (6th Edition):
Webster, A. (2016). Stability of certainty and opinion on influence networks. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/7183
Chicago Manual of Style (16th Edition):
Webster, Ariel. “Stability of certainty and opinion on influence networks.” 2016. Masters Thesis, University of Victoria. Accessed March 02, 2021.
http://hdl.handle.net/1828/7183.
MLA Handbook (7th Edition):
Webster, Ariel. “Stability of certainty and opinion on influence networks.” 2016. Web. 02 Mar 2021.
Vancouver:
Webster A. Stability of certainty and opinion on influence networks. [Internet] [Masters thesis]. University of Victoria; 2016. [cited 2021 Mar 02].
Available from: http://hdl.handle.net/1828/7183.
Council of Science Editors:
Webster A. Stability of certainty and opinion on influence networks. [Masters Thesis]. University of Victoria; 2016. Available from: http://hdl.handle.net/1828/7183
27.
Fonseca, António Jorge Filipe.
Mecanismos de popularidade e difusão de informação em redes sociais.
Degree: 2015, RCAAP
URL: https://www.rcaap.pt/detail.jsp?id=oai:repositorio.iscte-iul.pt:10071/12420
► Este trabalho de investigação estuda os mecanismos de formação de popularidade na sociedade, supondo que a popularidade é gerada por processos de difusão de informação.…
(more)
▼ Este trabalho de investigação estuda os mecanismos de formação de popularidade na sociedade, supondo que a popularidade é gerada por processos de difusão de informação.
Um modelo estático de distribuição de popularidade por diversas entidades é proposto e validado. Demonstra-se que este modelo se adequa a uma distribuição probabilística de crescimento exponencial da popularidade. Complementarmente, dois modelos dinâmicos para representar a evolução da popularidade são propostos. O primeiro, o Modelo de Ramificação, é um modelo exógeno de impacto que traça o perfil típico da evolução da popularidade a partir de um evento singular externo. O segundo, denominado Modelo de Epidemia, representa o processo de criação de popularidade quando esta surge da difusão interna de mensagens no seio de uma comunidade. Todos os modelos são validados com dados experimentais.
A magnitude da influência da popularidade na opinião pública, transmitida pela Comunicação Social, é particularmente analisada no estudo do caso das eleições presidenciais e legislativas, em 2011 em Portugal. Dois modelos sociofísicos multi-agente de dinâmica de opiniões, baseados no Modelo Browniano de Influência e na Teoria do Impacto Social, são usados para representar a dinâmica do debate político ocorrido neste período, em termos teóricos e quantitativos.
Entre os resultados relevantes dos trabalhos de tese, destaca-se a conclusão de que o crescimento a longo termo da popularidade de uma entidade, fruto dos processos de comunicação entre indivíduos, é independente das qualidades subjectivas daquela ou destes, dependendo sobretudo dos processos em que é comunicada.
This research investigates the mechanisms of formation of popularity in society, assuming that popularity is generated though processes of information diffusion.
A static model of the distribution of popularity by various entities is here proposed and validated. It is demonstrated that it fits a probabilistic distribution of exponential growth of popularity. Complementarily, two dynamic models are proposed, representing the evolution of popularity. The first model, named Ramification Model, is an exogenous impact model tracing the profile of the typical evolution of popularity triggered by a single external event. The second one, called Epidemic Model, represents the process of popularity formation when arising from internal dissemination of messages within a community. All models are validated with experimental data.
A case study, concerning communication data collected during the 2011 elections in Portugal, allowed measuring the influence of popularity, generated through Social Communication, on opinion dynamics. Two sociophysics opinion dynamics models, based on the Brownian Model of Influence, and on the Social Impact Theory, were used to represent theoretically and quantitatively the dynamics of public debate in this period.
One of the most relevant results of the research concerns the understanding that the long term increasing of some entity's popularity, as a result of communication…
Advisors/Committee Members: Louçã, Jorge Manuel Anacleto.
Subjects/Keywords: Complexidade; Modelação de agentes; Sistemas multi-agente; Rede social; Eleição; Opinião pública; Popularidade; Difusão da informação; Modelos Multi-Agente; Dinâmica de opinião; Previsão do voto; Sociofísica; Popularity; Information difusion; Social networks; Growth models; Multi-agent Models; Opinion dynamics; Election prediction; Sociophysics; Domínio/Área Científica::Engenharia e Tecnologia
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APA ·
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MLA ·
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CSE |
Export
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Manager
APA (6th Edition):
Fonseca, A. J. F. (2015). Mecanismos de popularidade e difusão de informação em redes sociais. (Thesis). RCAAP. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:repositorio.iscte-iul.pt:10071/12420
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Fonseca, António Jorge Filipe. “Mecanismos de popularidade e difusão de informação em redes sociais.” 2015. Thesis, RCAAP. Accessed March 02, 2021.
https://www.rcaap.pt/detail.jsp?id=oai:repositorio.iscte-iul.pt:10071/12420.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Fonseca, António Jorge Filipe. “Mecanismos de popularidade e difusão de informação em redes sociais.” 2015. Web. 02 Mar 2021.
Vancouver:
Fonseca AJF. Mecanismos de popularidade e difusão de informação em redes sociais. [Internet] [Thesis]. RCAAP; 2015. [cited 2021 Mar 02].
Available from: https://www.rcaap.pt/detail.jsp?id=oai:repositorio.iscte-iul.pt:10071/12420.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Fonseca AJF. Mecanismos de popularidade e difusão de informação em redes sociais. [Thesis]. RCAAP; 2015. Available from: https://www.rcaap.pt/detail.jsp?id=oai:repositorio.iscte-iul.pt:10071/12420
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
28.
Louzada Pinto, Julio Cesar.
Information diffusion and opinion dynamics in social networks : Dissémination de l’information et dynamique des opinions dans les réseaux sociaux.
Degree: Docteur es, Informatique, 2016, Evry, Institut national des télécommunications
URL: http://www.theses.fr/2016TELE0001
► La dissémination d'information explore les chemins pris par l'information qui est transmise dans un réseau social, afin de comprendre et modéliser les relations entre les…
(more)
▼ La dissémination d'information explore les chemins pris par l'information qui est transmise dans un réseau social, afin de comprendre et modéliser les relations entre les utilisateurs de ce réseau, ce qui permet une meilleur compréhension des relations humaines et leurs dynamique. Même si la priorité de ce travail soit théorique, en envisageant des aspects psychologiques et sociologiques des réseaux sociaux, les modèles de dissémination d'information sont aussi à la base de plusieurs applications concrètes, comme la maximisation d'influence, la prédication de liens, la découverte des noeuds influents, la détection des communautés, la détection des tendances, etc. Cette thèse est donc basée sur ces deux facettes de la dissémination d'information: nous développons d'abord des cadres théoriques mathématiquement solides pour étudier les relations entre les personnes et l'information, et dans un deuxième moment nous créons des outils responsables pour une exploration plus cohérente des liens cachés dans ces relations. Les outils théoriques développés ici sont les modèles de dynamique d'opinions et de dissémination d'information, où nous étudions le flot d'informations des utilisateurs dans les réseaux sociaux, et les outils pratiques développés ici sont un nouveau algorithme de détection de communautés et un nouveau algorithme de détection de tendances dans les réseaux sociaux
Our aim in this Ph. D. thesis is to study the diffusion of information as well as the opinion dynamics of users in social networks. Information diffusion models explore the paths taken by information being transmitted through a social network in order to understand and analyze the relationships between users in such network, leading to a better comprehension of human relations and dynamics. This thesis is based on both sides of information diffusion: first by developing mathematical theories and models to study the relationships between people and information, and in a second time by creating tools to better exploit the hidden patterns in these relationships. The theoretical tools developed in this thesis are opinion dynamics models and information diffusion models, where we study the information flow from users in social networks, and the practical tools developed in this thesis are a novel community detection algorithm and a novel trend detection algorithm. We start by introducing an opinion dynamics model in which agents interact with each other about several distinct opinions/contents. In our framework, agents do not exchange all their opinions with each other, they communicate about randomly chosen opinions at each time. We show, using stochastic approximation algorithms, that under mild assumptions this opinion dynamics algorithm converges as time increases, whose behavior is ruled by how users choose the opinions to broadcast at each time. We develop next a community detection algorithm which is a direct application of this opinion dynamics model: when agents broadcast the content they appreciate the most. Communities are thus formed,…
Advisors/Committee Members: Altman, Eitan (thesis director), Chahed, Tijani (thesis director).
Subjects/Keywords: Dynamique d'opinions; Algorithme d'approximation stochastique; Détection des communautés; Dissémination d'information; Processus de Hawkes; Détection des tendances; Contrôle stochastique; Opinion dynamics; Stochastic approximation algorithms; Community detection; Information diffusion; Hawkes processes; Trend detection; Stochastic control
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APA ·
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MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Louzada Pinto, J. C. (2016). Information diffusion and opinion dynamics in social networks : Dissémination de l’information et dynamique des opinions dans les réseaux sociaux. (Doctoral Dissertation). Evry, Institut national des télécommunications. Retrieved from http://www.theses.fr/2016TELE0001
Chicago Manual of Style (16th Edition):
Louzada Pinto, Julio Cesar. “Information diffusion and opinion dynamics in social networks : Dissémination de l’information et dynamique des opinions dans les réseaux sociaux.” 2016. Doctoral Dissertation, Evry, Institut national des télécommunications. Accessed March 02, 2021.
http://www.theses.fr/2016TELE0001.
MLA Handbook (7th Edition):
Louzada Pinto, Julio Cesar. “Information diffusion and opinion dynamics in social networks : Dissémination de l’information et dynamique des opinions dans les réseaux sociaux.” 2016. Web. 02 Mar 2021.
Vancouver:
Louzada Pinto JC. Information diffusion and opinion dynamics in social networks : Dissémination de l’information et dynamique des opinions dans les réseaux sociaux. [Internet] [Doctoral dissertation]. Evry, Institut national des télécommunications; 2016. [cited 2021 Mar 02].
Available from: http://www.theses.fr/2016TELE0001.
Council of Science Editors:
Louzada Pinto JC. Information diffusion and opinion dynamics in social networks : Dissémination de l’information et dynamique des opinions dans les réseaux sociaux. [Doctoral Dissertation]. Evry, Institut national des télécommunications; 2016. Available from: http://www.theses.fr/2016TELE0001
ETH Zürich
29.
Böttcher, Lucas.
Epidemic processes.
Degree: 2018, ETH Zürich
URL: http://hdl.handle.net/20.500.11850/270037
► Various phenomena in our daily world exhibit similarities to epidemic spreading. Fashion or technical trends are referred to as viral when they reach a large…
(more)
▼ Various phenomena in our daily world exhibit similarities to epidemic spreading. Fashion or technical trends are referred to as viral when they reach a large part of a society. In general, trends, opinions, diseases and failure in social or technical networks are characterized by the fact that they spread from an ``infected'' source to a ``non-infected'' state. We use the term epidemic process to refer to the described variety of different spreading phenomena. In addition to infection processes, external influences such as media in the case
opinion spreading among people also play a major role. In contrast to a simple contagion, where one source is sufficient to sustain spreading, there also exist complex contagion phenomena where multiple sources are required. Social
opinion formation is often described by the latter process.
Until now, different spreading models have been developed and applied to account for different numbers of sources. We propose a general contagion model which accounts for both external influences and different numbers of ``infectious'' sources. We show that our contagion model exhibits a novel characteristic critical behavior which we describe using mathematical concepts that have their origin in catastrophe theory. Besides the stationary critical behavior, we also verify dynamical universal behavior by analyzing the corresponding correlation and response functions. The identification of universal critical behavior allows to demonstrate similarities between epidemic models that appear different at first sight. Based on those similarities, it is possible to classify spreading models. This way of classifying models is closely related to the study of phase transitions in statistical physics. Typically, one studies an order parameter (e.g. the number of infected) as a function of a control parameter (e.g. infection rate). In many situations, one finds a transition point or critical point of the control parameter at which the order parameter starts growing. At this point, there exists a characteristic behavior of the order parameter as a function of the control parameter. Considerations like these allow to apply methods from statistical physics which are important for describing phase transitions of percolation and magnetic systems.
We consider different applications after defining and classifying our general modeling framework. We use the gained insights from the analysis of our general contagion model to propose a model for political campaigns. The suggested campaign model accounts for the complex interplay between activists, persuadables, political clout, budget and costs. Furthermore, we also study the
opinion formation process in online petitions by applying different time series analysis methods. The last two examples have their origin in the field of disease spreading. We describe a very effective method of targeted recovery of infected individuals, which makes it possible to drastically reduce the number of infected cases. This protocol is also applicable to other spreading processes.…
Advisors/Committee Members: Herrmann, Hans J., Helbing, Dirk.
Subjects/Keywords: Spreading; Bifurcations; Phase transitions and critical phenomena; Epidemic models; Opinion dynamics; Network theory; Mean-field theory; Universality; Ageing; Dynamical systems; Campaigns; Critical phenomena; Statistical physics; Simulation; Critical exponents; Cusp catastrophe; info:eu-repo/classification/ddc/510; info:eu-repo/classification/ddc/530; Mathematics; Physics
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APA ·
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APA (6th Edition):
Böttcher, L. (2018). Epidemic processes. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/270037
Chicago Manual of Style (16th Edition):
Böttcher, Lucas. “Epidemic processes.” 2018. Doctoral Dissertation, ETH Zürich. Accessed March 02, 2021.
http://hdl.handle.net/20.500.11850/270037.
MLA Handbook (7th Edition):
Böttcher, Lucas. “Epidemic processes.” 2018. Web. 02 Mar 2021.
Vancouver:
Böttcher L. Epidemic processes. [Internet] [Doctoral dissertation]. ETH Zürich; 2018. [cited 2021 Mar 02].
Available from: http://hdl.handle.net/20.500.11850/270037.
Council of Science Editors:
Böttcher L. Epidemic processes. [Doctoral Dissertation]. ETH Zürich; 2018. Available from: http://hdl.handle.net/20.500.11850/270037
Louisiana State University
30.
Jenner, Eric Jeffrey.
Greenwashing: visual communication and political influence in environmental policy.
Degree: PhD, Mass Communication, 2005, Louisiana State University
URL: etd-04142005-172650
;
https://digitalcommons.lsu.edu/gradschool_dissertations/3887
► Some contemporary theories in political science maintain that public lobbying is merely an expression of latent and resolute public opinion that is communicated to policymakers.…
(more)
▼ Some contemporary theories in political science maintain that public lobbying is merely an expression of latent and resolute public opinion that is communicated to policymakers. Other theories contend that the public is highly manipulable and that public lobbying by extension can be considered a form of strategic framing that takes place through the news and paid media. Both theoretical approaches specify a function for words or text but are silent on the influence of photographs or images. In this dissertation, I hypothesize that environmental public lobbying operates as strategic framing and that text and photographs have unique and discrete effects on public opinion and policy action. In a study on the effects of greenwashing, I examine how photographs and text influence aggregate public concern for the environment, public preferences on specific public problems and congressional committee action on environmental issues. Time series agenda-setting models show that photographs and text do have differential effects on public salience and policy action: public concern is largely compelled by words, whereas photographs drive policy attention. In a related experiment, findings suggest that images may directly influence specific policy preferences, but that there is no evidence of exclusively photographic framing effects. Words on the other hand are capable of directly changing opinions and also show evidence of framing effects.
Subjects/Keywords: interest groups; signaling; environmental politics; policy dynamics; framing; agenda setting; public opinion; visual communication
Record Details
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Record Details
Similar Records
Cite
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Jenner, E. J. (2005). Greenwashing: visual communication and political influence in environmental policy. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-04142005-172650 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3887
Chicago Manual of Style (16th Edition):
Jenner, Eric Jeffrey. “Greenwashing: visual communication and political influence in environmental policy.” 2005. Doctoral Dissertation, Louisiana State University. Accessed March 02, 2021.
etd-04142005-172650 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3887.
MLA Handbook (7th Edition):
Jenner, Eric Jeffrey. “Greenwashing: visual communication and political influence in environmental policy.” 2005. Web. 02 Mar 2021.
Vancouver:
Jenner EJ. Greenwashing: visual communication and political influence in environmental policy. [Internet] [Doctoral dissertation]. Louisiana State University; 2005. [cited 2021 Mar 02].
Available from: etd-04142005-172650 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3887.
Council of Science Editors:
Jenner EJ. Greenwashing: visual communication and political influence in environmental policy. [Doctoral Dissertation]. Louisiana State University; 2005. Available from: etd-04142005-172650 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3887
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Open Access Theses and Dissertations
