subject:(Social Network Analysis)

Università della Svizzera italiana

1. Wang, Lei. The effects of connectivity and culture on foreign direct investment decisions: empirical evidence from the international electricity industry.

Degree: 2011, Università della Svizzera italiana

URL: http://doc.rero.ch/record/28205

► With the significant growth in Foreign Direct Investment (FDI) in the past two decades, both investment managers and policy makers are keen to know the… (more)

▼ With the significant growth in Foreign Direct Investment (FDI) in the past two decades, both investment managers and policy makers are keen to know the factors determining the location of FDI. The eclectic theory, while being the most popular and dominant theories in international investment, failed to fully capture the behavioral dynamics of international investment. For instance, FDI location decisions sometimes concern the certain social or political relationships between the home and host countries such as “cultural ties”. And firms’ international partners and competitors’ investment decisions impact their decisions as well. FDI thus is thus progressively realized by researchers being a complex and multi-dimensional phenomenon and FDI theories also gradually moved from the economics domain towards the new interdisciplinary field of international business, which is more concerned with firm strategy. Bandelj and Uzzi proposed a “relational approach” and “embeddedness view” respectively to explain the FDI location choice from a firm strategic perspective. The common point of the two views is that they see FDI as a dyadic relation between home and host parties, and assume that the formation of investment relation occurs through certain ways of relationship and connectivity. Even though FDI has been recognized as a relational phenomenon, few studies have provided properly quantitative results mainly due to data scarcity and analysis tools constraints. In this study I interpret FDI as a linkage that firms in their home country establish with their host and aim to understand how a FDI linkage is formed through the effects of relationship and connectivity. The study issues are addressed in the three chapters in the thesis by relying on Social Network Analysis (SNA). Cross-border M&A transaction data during the period of 1997 - 2001 in the international electricity industry among 38 countries are selected as data samples for the analysis. Analyses reported in these three papers provide empirical evidence in support of the view that the formation of FDI linkages is through connectivity and cultural relationship mechanisms. Advisors/Committee Members: Alessandro (Dir.), Erik (Codir.).

Subjects/Keywords: Social network analysis

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APA (6^th Edition):

Wang, L. (2011). The effects of connectivity and culture on foreign direct investment decisions: empirical evidence from the international electricity industry. (Thesis). Università della Svizzera italiana. Retrieved from http://doc.rero.ch/record/28205

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wang, Lei. “The effects of connectivity and culture on foreign direct investment decisions: empirical evidence from the international electricity industry.” 2011. Thesis, Università della Svizzera italiana. Accessed March 01, 2021. http://doc.rero.ch/record/28205.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wang, Lei. “The effects of connectivity and culture on foreign direct investment decisions: empirical evidence from the international electricity industry.” 2011. Web. 01 Mar 2021.

Vancouver:

Wang L. The effects of connectivity and culture on foreign direct investment decisions: empirical evidence from the international electricity industry. [Internet] [Thesis]. Università della Svizzera italiana; 2011. [cited 2021 Mar 01]. Available from: http://doc.rero.ch/record/28205.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang L. The effects of connectivity and culture on foreign direct investment decisions: empirical evidence from the international electricity industry. [Thesis]. Università della Svizzera italiana; 2011. Available from: http://doc.rero.ch/record/28205

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Notre Dame

2. Haiyan Liu. Social Network Analysis in an Extended Structural Equation Modeling Framework</h1>.

Degree: Psychology, 2018, University of Notre Dame

URL: https://curate.nd.edu/show/6d56zw15m8j

► A primary focus of social network analysis (SNA) is to understand actor attributes from social structures in a network. It is an interdisciplinary research… (more)

Subjects/Keywords: social network analysis

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APA (6^th Edition):

Liu, H. (2018). Social Network Analysis in an Extended Structural Equation Modeling Framework</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/6d56zw15m8j

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Liu, Haiyan. “Social Network Analysis in an Extended Structural Equation Modeling Framework</h1>.” 2018. Thesis, University of Notre Dame. Accessed March 01, 2021. https://curate.nd.edu/show/6d56zw15m8j.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Liu, Haiyan. “Social Network Analysis in an Extended Structural Equation Modeling Framework</h1>.” 2018. Web. 01 Mar 2021.

Vancouver:

Liu H. Social Network Analysis in an Extended Structural Equation Modeling Framework</h1>. [Internet] [Thesis]. University of Notre Dame; 2018. [cited 2021 Mar 01]. Available from: https://curate.nd.edu/show/6d56zw15m8j.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu H. Social Network Analysis in an Extended Structural Equation Modeling Framework</h1>. [Thesis]. University of Notre Dame; 2018. Available from: https://curate.nd.edu/show/6d56zw15m8j

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Waterloo

3. Schunk, Adam. An Analysis on The Network Structure of Influential Communities in Twitter.

Degree: 2019, University of Waterloo

URL: http://hdl.handle.net/10012/14476

► Over the past years online social networks have become a major target for marketing strategies, generating a need for methods to efficiently spread information through… (more)

Subjects/Keywords: Network Analysis; Social Network; Twitter; Social Influence

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APA (6^th Edition):

Schunk, A. (2019). An Analysis on The Network Structure of Influential Communities in Twitter. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/14476

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Schunk, Adam. “An Analysis on The Network Structure of Influential Communities in Twitter.” 2019. Thesis, University of Waterloo. Accessed March 01, 2021. http://hdl.handle.net/10012/14476.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Schunk, Adam. “An Analysis on The Network Structure of Influential Communities in Twitter.” 2019. Web. 01 Mar 2021.

Vancouver:

Schunk A. An Analysis on The Network Structure of Influential Communities in Twitter. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10012/14476.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Schunk A. An Analysis on The Network Structure of Influential Communities in Twitter. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/14476

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Anna University

4. Karthika S. Effective behavioral and relational Analysis for pivot actor tagging in Clandestine social network;.

Degree: Effective behavioral and relational Analysis for pivot actor tagging in Clandestine social network, 2015, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/40515

►

Terrorism is considered to be a violent act which in the name of newlinereligion creates fear among the innocent people Terrorist networks are newlineamorphous invisible… (more)

Subjects/Keywords: Social Network Analysis; Terrorist networks

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APA (6^th Edition):

S, K. (2015). Effective behavioral and relational Analysis for pivot actor tagging in Clandestine social network;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/40515

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

S, Karthika. “Effective behavioral and relational Analysis for pivot actor tagging in Clandestine social network;.” 2015. Thesis, Anna University. Accessed March 01, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/40515.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

S, Karthika. “Effective behavioral and relational Analysis for pivot actor tagging in Clandestine social network;.” 2015. Web. 01 Mar 2021.

Vancouver:

S K. Effective behavioral and relational Analysis for pivot actor tagging in Clandestine social network;. [Internet] [Thesis]. Anna University; 2015. [cited 2021 Mar 01]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/40515.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

S K. Effective behavioral and relational Analysis for pivot actor tagging in Clandestine social network;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/40515

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Alberta

5. Chen, Jiyang. Community Mining: Discovering Communities in Social Networks.

Degree: PhD, Department of Computing Science, 2010, University of Alberta

URL: https://era.library.ualberta.ca/files/8p58pd049

► Much structured data of scientific interest can be represented as networks, where sets of nodes or vertices are joined together in pairs by links or… (more)

Subjects/Keywords: Community Mining; Social Network Analysis

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APA (6^th Edition):

Chen, J. (2010). Community Mining: Discovering Communities in Social Networks. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/8p58pd049

Chicago Manual of Style (16^th Edition):

Chen, Jiyang. “Community Mining: Discovering Communities in Social Networks.” 2010. Doctoral Dissertation, University of Alberta. Accessed March 01, 2021. https://era.library.ualberta.ca/files/8p58pd049.

MLA Handbook (7^th Edition):

Chen, Jiyang. “Community Mining: Discovering Communities in Social Networks.” 2010. Web. 01 Mar 2021.

Vancouver:

Chen J. Community Mining: Discovering Communities in Social Networks. [Internet] [Doctoral dissertation]. University of Alberta; 2010. [cited 2021 Mar 01]. Available from: https://era.library.ualberta.ca/files/8p58pd049.

Council of Science Editors:

Chen J. Community Mining: Discovering Communities in Social Networks. [Doctoral Dissertation]. University of Alberta; 2010. Available from: https://era.library.ualberta.ca/files/8p58pd049

Anna University

6. Karthika S. Effective behavioral and relational Analysis for pivot actor tagging in Clandestine social network;.

Degree: Effective behavioral and relational Analysis for pivot actor tagging in Clandestine social network, 2015, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/38915

►

Terrorism is considered to be a violent act which in the name of newlinereligion creates fear among the innocent people Terrorist networks are newlineamorphous invisible… (more)

Subjects/Keywords: Social Network Analysis; Terrorist networks

Record Details Similar Records Cite « Share

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

S, K. (2015). Effective behavioral and relational Analysis for pivot actor tagging in Clandestine social network;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/38915

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

S, Karthika. “Effective behavioral and relational Analysis for pivot actor tagging in Clandestine social network;.” 2015. Thesis, Anna University. Accessed March 01, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/38915.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

S, Karthika. “Effective behavioral and relational Analysis for pivot actor tagging in Clandestine social network;.” 2015. Web. 01 Mar 2021.

Vancouver:

S K. Effective behavioral and relational Analysis for pivot actor tagging in Clandestine social network;. [Internet] [Thesis]. Anna University; 2015. [cited 2021 Mar 01]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/38915.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

S K. Effective behavioral and relational Analysis for pivot actor tagging in Clandestine social network;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/38915

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Northeastern University

7. Williamson, Matthew H. The networks of John Jay, 1745-1801: a historical network analysis.

Degree: PhD, Department of History, 2017, Northeastern University

URL: http://hdl.handle.net/2047/D20240413

► Studies of American revolutionaries often focus on their ideologies and politics, and while this approach is quite useful, the actions of this cohort can also… (more)

▼ Studies of American revolutionaries often focus on their ideologies and politics, and while this approach is quite useful, the actions of this cohort can also be understood in terms of social networks. Recent works on the founding fathers, while employing the literature of social history, are still biographies that make men the center of the narrative and often ignore larger social trends. An important figure among revolutions, John Jay, provides an opportunity to look beyond biography and instead focus on the networks in which he was engaged. This approach allows for a more expansive view of how individuals and events together shape history. This project also examines the transatlantic realities of the American Revolution, and the founding of the United States.; I argue that Jay understood the value of these networks, and used them to his advantage. This dissertation reconstructs the social networks of John Jay from his graduation from King's College in 1764 to his retirement from politics in 1801. I use formal network analysis and visualization tools to create network models, specifically egocentric networks, in order to understand the web of relationships that defined Jay's world and influenced history. The formal investigation of Jay's networks offers an opportunity to examine his manipulation of those networks.; Many of the benefits of applying social network analysis were not unexpected. People and groups that had previously been marginalized or trivialized were highlighted as integral to Jay. This work sheds light on the significance of these individuals who influenced Jay throughout his career. Another important result of this approach revealed that no singular individual was responsible for writings, ideas, and events. Using network theory, it became clear that the instructions that Alexander Hamilton gave to Jay for this peace mission were, in fact, created by a number of Federalists in private discussions before the meeting. Network theory also helped to clarify Jay's agency in the negotiations themselves.; Several limitations of applying network analysis to historical study were revealed in this research. The datasets are large and require an extensive amount of investigation. Applying network data analysis to historical research challenges the writer to integrate both into a coherent understanding of the impact of relationships and events. This approach is fairly non-traditional among academics, but the practice of integrating social network analysis into historical study is a worthy pursuit.

Subjects/Keywords: American Revolution; social network analysis

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APA (6^th Edition):

Williamson, M. H. (2017). The networks of John Jay, 1745-1801: a historical network analysis. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20240413

Chicago Manual of Style (16^th Edition):

Williamson, Matthew H. “The networks of John Jay, 1745-1801: a historical network analysis.” 2017. Doctoral Dissertation, Northeastern University. Accessed March 01, 2021. http://hdl.handle.net/2047/D20240413.

MLA Handbook (7^th Edition):

Williamson, Matthew H. “The networks of John Jay, 1745-1801: a historical network analysis.” 2017. Web. 01 Mar 2021.

Vancouver:

Williamson MH. The networks of John Jay, 1745-1801: a historical network analysis. [Internet] [Doctoral dissertation]. Northeastern University; 2017. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/2047/D20240413.

Council of Science Editors:

Williamson MH. The networks of John Jay, 1745-1801: a historical network analysis. [Doctoral Dissertation]. Northeastern University; 2017. Available from: http://hdl.handle.net/2047/D20240413

Università della Svizzera italiana

8. Emery, Cécile. Investigating leadership emergence using longitudinal leadership networks.

Degree: 2010, Università della Svizzera italiana

URL: http://doc.rero.ch/record/19029

► A growing body of research has examined emergent leadership within groups. Emergent leadership is defined as a process during which some individuals, over time and… (more)

Subjects/Keywords: Longitudinal social network analysis

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APA (6^th Edition):

Emery, C. (2010). Investigating leadership emergence using longitudinal leadership networks. (Thesis). Università della Svizzera italiana. Retrieved from http://doc.rero.ch/record/19029

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Emery, Cécile. “Investigating leadership emergence using longitudinal leadership networks.” 2010. Thesis, Università della Svizzera italiana. Accessed March 01, 2021. http://doc.rero.ch/record/19029.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Emery, Cécile. “Investigating leadership emergence using longitudinal leadership networks.” 2010. Web. 01 Mar 2021.

Vancouver:

Emery C. Investigating leadership emergence using longitudinal leadership networks. [Internet] [Thesis]. Università della Svizzera italiana; 2010. [cited 2021 Mar 01]. Available from: http://doc.rero.ch/record/19029.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Emery C. Investigating leadership emergence using longitudinal leadership networks. [Thesis]. Università della Svizzera italiana; 2010. Available from: http://doc.rero.ch/record/19029

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Florida

9. Zhang, Tianduo. State Owned Media in Hashtag Discussion Exploring State Owned Media Agenda Building Strategy on Twitter.

Degree: PhD, Mass Communication - Journalism and Communications, 2018, University of Florida

URL: https://ufdc.ufl.edu/UFE0052698

► The current study examined how state-owned media uses Twitter to build their agenda about controversial international relations issues. Three questions are examined: are state-owned media… (more)

Subjects/Keywords: analysis – network – social – twitter

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APA (6^th Edition):

Zhang, T. (2018). State Owned Media in Hashtag Discussion Exploring State Owned Media Agenda Building Strategy on Twitter. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0052698

Chicago Manual of Style (16^th Edition):

Zhang, Tianduo. “State Owned Media in Hashtag Discussion Exploring State Owned Media Agenda Building Strategy on Twitter.” 2018. Doctoral Dissertation, University of Florida. Accessed March 01, 2021. https://ufdc.ufl.edu/UFE0052698.

MLA Handbook (7^th Edition):

Zhang, Tianduo. “State Owned Media in Hashtag Discussion Exploring State Owned Media Agenda Building Strategy on Twitter.” 2018. Web. 01 Mar 2021.

Vancouver:

Zhang T. State Owned Media in Hashtag Discussion Exploring State Owned Media Agenda Building Strategy on Twitter. [Internet] [Doctoral dissertation]. University of Florida; 2018. [cited 2021 Mar 01]. Available from: https://ufdc.ufl.edu/UFE0052698.

Council of Science Editors:

Zhang T. State Owned Media in Hashtag Discussion Exploring State Owned Media Agenda Building Strategy on Twitter. [Doctoral Dissertation]. University of Florida; 2018. Available from: https://ufdc.ufl.edu/UFE0052698

University of Illinois – Urbana-Champaign

10. Pilny, Andrew Nicholas. Social movements as networks of communication episodes.

Degree: PhD, Communication, 2015, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/88146

► Social movements (SMs) are common, yet complex phenomenon of study, generating eclectic and even conflicting perspectives on what actually constitutes a SM. This notion points… (more)

▼ Social movements (SMs) are common, yet complex phenomenon of study, generating eclectic and even conflicting perspectives on what actually constitutes a SM. This notion points towards the need of an inclusive framework that attempts to talk with rather than past conflicting perspectives. The purpose of this dissertation is to develop a hybrid theoretical framework that incorporates three SM perspectives: (1) SMs as aggregates, (2) SMs as networks, and (3) SMs as symbolic interactions. I argue that a framework of SMs as networks communication episodes (CAMs) is one way to build a successful hybrid approach, arguing that SMs consist of relationships between and within actors and events. In order to put the CAM framework to use, I used multidimensional exponential random graph modeling (MERGM) to analyze four different SMS: (1) 1970s US Energy Policy Domain, (2) 1970s US Health Policy Domain, (3) 1980s Anti-Stalinist mobilization in Poland, and (4) 1980s US Labor Policy Domain. Multidimensional network simulation was used to determine which organizing patterns correlate to instrumental and expressive theories of collective action and MERGM was used to uncover the dominant multidimensional organizing patterns in the empirical data behind each SM. Results revealed that most collective action events were organized by single organizations across all four SMs and that the Polish SM was the only movement out of the four that contain positive estimates of parameters conducive to network theories of collective action. Based on these results, a working model of factors that are theorized to influence the CAM structure is proposed, along with an application to the Anti-Stalinist mobilization in Poland and anti-Three Mile Island nuclear power plant mobilization. Moreover, based on different patterns in the CAM framework, a typology of different modes of organizing for collective action is developed, challenging a recent and common perspective of collective action as either organized or un-organized. Advisors/Committee Members: Poole, Marshall S. (advisor), Poole, Marshall S. (Committee Chair), Shumate, Michelle D. (committee member), Lammers, John C. (committee member), Diesner, Jana (committee member).

Subjects/Keywords: Social movements; network analysis; communication

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APA (6^th Edition):

Pilny, A. N. (2015). Social movements as networks of communication episodes. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/88146

Chicago Manual of Style (16^th Edition):

Pilny, Andrew Nicholas. “Social movements as networks of communication episodes.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed March 01, 2021. http://hdl.handle.net/2142/88146.

MLA Handbook (7^th Edition):

Pilny, Andrew Nicholas. “Social movements as networks of communication episodes.” 2015. Web. 01 Mar 2021.

Vancouver:

Pilny AN. Social movements as networks of communication episodes. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/2142/88146.

Council of Science Editors:

Pilny AN. Social movements as networks of communication episodes. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/88146

University of Texas – Austin

11. Chen, Chia-Ju. Statistical analysis of identity risk of exposure and cost using the ecosystem of identity attributes.

Degree: MSin Engineering, Electrical and Computer Engineering, 2019, University of Texas – Austin

URL: http://dx.doi.org/10.26153/tsw/7425

► Personally Identifiable Information (PII) is often called the "currency of the Internet" as identity assets are collected, shared, sold, and used for almost every transaction… (more)

Subjects/Keywords: Security; Social network analysis

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APA (6^th Edition):

Chen, C. (2019). Statistical analysis of identity risk of exposure and cost using the ecosystem of identity attributes. (Masters Thesis). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/7425

Chicago Manual of Style (16^th Edition):

Chen, Chia-Ju. “Statistical analysis of identity risk of exposure and cost using the ecosystem of identity attributes.” 2019. Masters Thesis, University of Texas – Austin. Accessed March 01, 2021. http://dx.doi.org/10.26153/tsw/7425.

MLA Handbook (7^th Edition):

Chen, Chia-Ju. “Statistical analysis of identity risk of exposure and cost using the ecosystem of identity attributes.” 2019. Web. 01 Mar 2021.

Vancouver:

Chen C. Statistical analysis of identity risk of exposure and cost using the ecosystem of identity attributes. [Internet] [Masters thesis]. University of Texas – Austin; 2019. [cited 2021 Mar 01]. Available from: http://dx.doi.org/10.26153/tsw/7425.

Council of Science Editors:

Chen C. Statistical analysis of identity risk of exposure and cost using the ecosystem of identity attributes. [Masters Thesis]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/7425

George Mason University

12. Schuchard, Ross J. A Social Network Analysis of Emergent International Communities: A Global Discussion about the 2013-2014 Ukrainian Crisis .

Degree: 2015, George Mason University

URL: http://hdl.handle.net/1920/9741

► Transnational global interactions observed through activities such as international voting measures, trade transactions and participations in alliances have historically provided researchers an opportunity to analyze… (more)

▼ Transnational global interactions observed through activities such as international voting measures, trade transactions and participations in alliances have historically provided researchers an opportunity to analyze international relations (IR) amongst national actors within the global power structure. In addition to these traditional macro-level global interactions, the recent emergence of social media has ushered in a new era of global connectivity amongst individual people throughout the world, thus enabling micro-level global interactions. This thesis provides a more holistic view of global international relations by capturing both macro-level and micro-level global interactions and viewing them as comparable networks. By using social network analysis (SNA) tools to detect emergent communities within networks, this thesis directly compared the community structure of two macro-level networks (United Nations General Assemble (UNGA) voting records and arms trade transaction networks) and one social media micro-level network (e.g. Twitter). The UNGA macro-level voting network served as a measure of validation for this approach by properly showing East-West geopolitical divisions during the Cold War and a North-South socio-economic division following the Cold War. The micro-level Twitter network was created from tweets harvested from conversations about the Ukrainian crisis from the initial Euromaidan protests in November 2013 through June 2014, which included the annexation of Crimea by Russia. The community detection results for the micro-level Ukrainian Twitter network shared the greatest similarity (0.42 on a 0-1 scale) with the UNGA Cold War community results. This result suggests that Ukrainian citizens did not shed their historical cultural roots that aligned themselves with the Cold War East-West geopolitical structure. Additionally, a further analysis evaluating the level of cooperation between the NATO alliance and Ukraine showed that there exists very little evidence of cooperation between the two entities in either the micro-level or macro-level networks. Advisors/Committee Members: Crooks, Andrew T (advisor).

Subjects/Keywords: social network analysis; social media; community detection; international relations; network analysis

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APA (6^th Edition):

Schuchard, R. J. (2015). A Social Network Analysis of Emergent International Communities: A Global Discussion about the 2013-2014 Ukrainian Crisis . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/9741

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Schuchard, Ross J. “A Social Network Analysis of Emergent International Communities: A Global Discussion about the 2013-2014 Ukrainian Crisis .” 2015. Thesis, George Mason University. Accessed March 01, 2021. http://hdl.handle.net/1920/9741.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Schuchard, Ross J. “A Social Network Analysis of Emergent International Communities: A Global Discussion about the 2013-2014 Ukrainian Crisis .” 2015. Web. 01 Mar 2021.

Vancouver:

Schuchard RJ. A Social Network Analysis of Emergent International Communities: A Global Discussion about the 2013-2014 Ukrainian Crisis . [Internet] [Thesis]. George Mason University; 2015. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1920/9741.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Schuchard RJ. A Social Network Analysis of Emergent International Communities: A Global Discussion about the 2013-2014 Ukrainian Crisis . [Thesis]. George Mason University; 2015. Available from: http://hdl.handle.net/1920/9741

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

13. Jang, Chiau-wen. Social Movements in E-democracy: Civic Networks in Hong Kong, Taiwan and Singapore.

Degree: 2015, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/26416

► The social movements shed light on dynamic practice of civic education to encourage students to be an actor in political arena, and transform the sense… (more)

▼ The social movements shed light on dynamic practice of civic education to encourage students to be an actor in political arena, and transform the sense of conventional civic education into criticism-oriented one. The series of uprisings, the Occupy movements and demonstrations sprang up across North America, and the Arab World in the last couple of years. In Asia, there are three salient social movements launched by young generation in 2014, including the Umbrella Revolution in Hong Kong, the Sunflower Movement in Taiwan, and the Return Our CPF Protest in Singapore. Young generation finds alternatives to challenge traditional norms by disobeying governmental decisions to express the demand of social reform. These series of social movements can be identified as the wave of E-Democracy that social media not only broaden people’s political space and produce participation in public affairs, but also bring innovative tactics to different forms of regimes. Compared to authoritarian regimes, the social movements in three quasi-democratic regimes of Hong Kong, Taiwan and Singapore have broader public space for citizens to engage in public affairs. However, the rooted culture of Confucian meritocracy and filial piety potentially makes these three Asian states depart from liberal democracy. This study applied social network analysis to Twitter and Facebook data to take centrality, subgroup, and hierarchy analyses as a whole to explore the pattern of civic network in Hong Kong, Taiwan, and Singapore. The findings show that civic networks in Hong Kong and Taiwan have similar traits that there is a group of actors with high centrality and multiplex clusters with dense interconnection within networks. Relatively, only few actors in Singapore can play a bridging role that activists or protesters are a small group of like-minded citizens who are affiliated to homogenous clusters. Civic networks in Hong Kong and Taiwan are toward horizontal linkages across different bonding of citizens, while civic network in Singapore is more likely to be hierarchical structure that symbolizes power control and network cohesiveness. The hierarchical network is exclusive of diverse clusters and may be incapable of adapting to unexpected disruption or exogenous pressure. However, the analyses also indicate that three civic networks are still affiliated to relatively homogenous clusters instead of truly diverse clustering. As these three states are all identified as quasi-democratic regimes, governments potentially discourage citizens from any kind of opposition and people are more sensitive to social movement. This context may explain how rooted Chinese culture potentially makes three networks toward hierarchical structure at large, even though the result indicates that Singapore network is the most hierarchical one. In addition, these quasi-democratic regimes may not fulfill students’ capacities for civic commitments, but lead to significant gaps between curriculum and practice. As students were major populations involving in these social… Advisors/Committee Members: Dana Lynn Mitra, Thesis Advisor/Co-Advisor.

Subjects/Keywords: social movement; social network analysis; civic education

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Jang, C. (2015). Social Movements in E-democracy: Civic Networks in Hong Kong, Taiwan and Singapore. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26416

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Jang, Chiau-wen. “Social Movements in E-democracy: Civic Networks in Hong Kong, Taiwan and Singapore.” 2015. Thesis, Penn State University. Accessed March 01, 2021. https://submit-etda.libraries.psu.edu/catalog/26416.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Jang, Chiau-wen. “Social Movements in E-democracy: Civic Networks in Hong Kong, Taiwan and Singapore.” 2015. Web. 01 Mar 2021.

Vancouver:

Jang C. Social Movements in E-democracy: Civic Networks in Hong Kong, Taiwan and Singapore. [Internet] [Thesis]. Penn State University; 2015. [cited 2021 Mar 01]. Available from: https://submit-etda.libraries.psu.edu/catalog/26416.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jang C. Social Movements in E-democracy: Civic Networks in Hong Kong, Taiwan and Singapore. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26416

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Victoria University of Wellington

14. Jansen van Vuuren, Sally. Inter-Organisational Knowledge Sharing in the Public Sector: The Role of Social Capital and Information and Communication Technology.

Degree: 2011, Victoria University of Wellington

URL: http://hdl.handle.net/10063/1555

► This thesis explores the dynamics of knowledge sharing, through the context of interorganisational collaboration in the public sector. The growth of collaboration across public sector… (more)

▼ This thesis explores the dynamics of knowledge sharing, through the context of interorganisational collaboration in the public sector. The growth of collaboration across public sector organisations places increasing importance on knowledge sharing, yet it is an area that has historically proved difficult for the sector. Knowledge sharing research increasingly emphasises the importance of social capital in facilitating and influencing knowledge sharing behaviours, yet the public sector’s approach to knowledge sharing has predominantly focussed on the use of information and communication technology (ICT) tools. The aim of this research is to better understand the dynamics of knowledge sharing, and the roles that social capital and ICT play in knowledge sharing. This is a contemporary and important research topic. Public sector commitment to increasing collaboration requires a strong focus on inter-organisational knowledge sharing. This multiple-case, multi-method research incorporates a research design that blends qualitative and quantitative data collection and analysis. The research extends and deepens current understanding of the dynamics of knowledge sharing and contributes to the existing body of knowledge in the areas of knowledge sharing, social capital, and ICT. It also provides valuable empirical evidence relating to public sector based sharing at the inter-organisational level. The research found that social capital is a significant concern for collaborative teams. Factors such as trust, group identity and shared purpose and goals were identified as important considerations for team members. Despite the sector’s focus on ICT tools as key knowledge sharing mechanisms, the actual availability of tools was limited. Further, individuals’ use of tools was low due to their perceptions of the available tools as difficult to use and of limited usefulness. A key outcome of the research was the development of a conceptual framework that can be used to support the work of academics and practitioners engaged in the field of collaboration and knowledge sharing. The framework identifies six important antecedents that influence the development of social capital, and the availability and use of ICT. These antecedents include collaboration design, leadership, the perceived ease of use and perceived usefulness of ICT, and individual technical ability. The final antecedent identifies individual’s commitment to the ‘intrinsic value of public sector work’ as a key collaboration factor. Advisors/Committee Members: Huff, Sid, Pauleen, David.

Subjects/Keywords: Knowledge management; Social capital; Social network analysis

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APA (6^th Edition):

Jansen van Vuuren, S. (2011). Inter-Organisational Knowledge Sharing in the Public Sector: The Role of Social Capital and Information and Communication Technology. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/1555

Chicago Manual of Style (16^th Edition):

Jansen van Vuuren, Sally. “Inter-Organisational Knowledge Sharing in the Public Sector: The Role of Social Capital and Information and Communication Technology.” 2011. Doctoral Dissertation, Victoria University of Wellington. Accessed March 01, 2021. http://hdl.handle.net/10063/1555.

MLA Handbook (7^th Edition):

Jansen van Vuuren, Sally. “Inter-Organisational Knowledge Sharing in the Public Sector: The Role of Social Capital and Information and Communication Technology.” 2011. Web. 01 Mar 2021.

Vancouver:

Jansen van Vuuren S. Inter-Organisational Knowledge Sharing in the Public Sector: The Role of Social Capital and Information and Communication Technology. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2011. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10063/1555.

Council of Science Editors:

Jansen van Vuuren S. Inter-Organisational Knowledge Sharing in the Public Sector: The Role of Social Capital and Information and Communication Technology. [Doctoral Dissertation]. Victoria University of Wellington; 2011. Available from: http://hdl.handle.net/10063/1555

Boston College

15. Fagan, Kyle. Social Partnerships for Educational and Community Change.

Degree: PhD, Teacher Education, Special Education, Curriculum and Instruction, 2018, Boston College

URL: http://dlib.bc.edu/islandora/object/bc-ir:108271

► The challenges facing our communities are complex, interconnected, and urgent (Kania & Kramer, 2011). Recognizing these challenges, policy makers, funders, and practitioners are turning to… (more)

▼ The challenges facing our communities are complex, interconnected, and urgent (Kania & Kramer, 2011). Recognizing these challenges, policy makers, funders, and practitioners are turning to social partnerships as a promising strategy for community and educational change (Bess, 2015; Henig et al., 2015). Social partnerships involve the joining together of organizations from across sectors of society to tackle social problems (Crane & Seitanidi, 2014). The underlying premise of the Promise Neighborhoods program, one such social partnership, is that providing access to resources, services, and supports in a comprehensive manner will have the greatest effect on educational and community outcomes (U.S. Department of Education, 2018). This study seeks to shed light on the process of initiating and implementing a social partnership. In this study the author employed a two-phased, mixed methods design using social network analysis and interviews with organizational representatives to examine the network structures of communication and collaboration within one Promise Neighborhoods initiative: the Boston Promise Initiative. The sample for the social network analysis consisted of 33 individuals from 27 partner organizations. Further, follow-up interviews with 11 individuals were held to understand how network structures and processes might impact educational and community change. Findings from the social network analysis and qualitative interviews reveal networks of communication and collaboration rooted in a deep history of place-based change efforts, facilitating access to network resources and social capital among partner organizations. The findings highlight the importance of recognizing both challenges and opportunities of partnering with schools. Further, the findings highlight the importance of a lead organization’s ability to attend to both technical processes, such as facilitating communication among partners, and cultural processes, such as negotiating organizational identity. Taken together, the findings from this study point to the complex nature of cross-sector collaboration and identify structural factors and network processes that may impact the success of the efforts. By better understanding the structure and processes inherent in social partnerships, organizations can be better supported as they develop and implement cross-sector initiatives aimed at making meaningful change in their communities. Advisors/Committee Members: Patrick McQuillan (Thesis advisor).

Subjects/Keywords: Promise Neighborhoods; social network analysis; social partnerships

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APA (6^th Edition):

Fagan, K. (2018). Social Partnerships for Educational and Community Change. (Doctoral Dissertation). Boston College. Retrieved from http://dlib.bc.edu/islandora/object/bc-ir:108271

Chicago Manual of Style (16^th Edition):

Fagan, Kyle. “Social Partnerships for Educational and Community Change.” 2018. Doctoral Dissertation, Boston College. Accessed March 01, 2021. http://dlib.bc.edu/islandora/object/bc-ir:108271.

MLA Handbook (7^th Edition):

Fagan, Kyle. “Social Partnerships for Educational and Community Change.” 2018. Web. 01 Mar 2021.

Vancouver:

Fagan K. Social Partnerships for Educational and Community Change. [Internet] [Doctoral dissertation]. Boston College; 2018. [cited 2021 Mar 01]. Available from: http://dlib.bc.edu/islandora/object/bc-ir:108271.

Council of Science Editors:

Fagan K. Social Partnerships for Educational and Community Change. [Doctoral Dissertation]. Boston College; 2018. Available from: http://dlib.bc.edu/islandora/object/bc-ir:108271

McMaster University

16. Mashayekhy, Morteza. DEVELOPING SOCIAL CAPITAL THROUGH PROFESSIONALLY-ORIENTED SOCIAL NETWORK SITES.

Degree: DBA, 2019, McMaster University

URL: http://hdl.handle.net/11375/24669

►

Previous research has mainly focused on the social capital formation process on Facebook. In general, professionally-oriented social network sites (P-SNSs), such as LinkedIn, are under-researched… (more)

▼

Previous research has mainly focused on the social capital formation process on Facebook. In general, professionally-oriented social network sites (P-SNSs), such as LinkedIn, are under-researched in the Information Systems discipline. In addition, current studies do not include the effects of important elements of social network sites (SNS) such as one’s profile on social capital formation. As such, the main objective of this research is to propose and validate a model that explains the process by which individuals develop and accrue social capital through using P-SNSs. The theoretical framework of the proposed research draws upon Social Network Analysis, Social Media Analysis, and Social Capital Theory. Using an online survey of 377 LinkedIn users, this study finds that: (1) P-SNS users’ actions (perceived profile disclosure, active participation, and passive consumption) have significant positive effects on perceived social connectedness; (2) perceived social connectedness on P-SNSs has a significant positive effect on perceived networking value on these sites; (3) perceived profile disclosure and passive consumption have significant positive effects on network size; (4) active participation does not have any effect on network size; and (5) network size does not have a significant effect on perceived networking value. Overall, this investigation advances our understanding of how social capital is formed in P-SNSs. Additionally, by including the profile disclosure construct in the research model, this is the first study in the P-SNS context that investigates the role of the user profile in the social capital formation process, along with user actions such as active participation and passive consumption. From a practical perspective, this study has implications for different audiences such as job seekers, policy-makers, and P-SNS providers, assisting them in playing a more effective role in the social capital formation process on P-SNSs.

Thesis

Doctor of Business Administration (DBA)

In recent years, people increasingly spend their time on various social network sites (SNSs) such as Facebook and LinkedIn. This raises a serious question as to how people gain actual benefits from using these sites. This research examines this question from the lens of social capital. As such, the main objective of this research was to propose and validate a model that explains the process by which individuals develop social capital through professionally-oriented SNS such as LinkedIn. This study finds that to gain actual benefits from professionally-oriented SNS, such as networking value, people need to feel connected to their social networks on the site. This feeling of connection requires that people actively participate on the site (e.g., share a post) rather than just reading and following other people’s posts. Also, to connect with more people, individuals should disclose more information on the site.

Advisors/Committee Members: Head, Milena, Business Administration.

Subjects/Keywords: social network sites; social capital; social network analysis; networking value; LinkedIn

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Mashayekhy, M. (2019). DEVELOPING SOCIAL CAPITAL THROUGH PROFESSIONALLY-ORIENTED SOCIAL NETWORK SITES. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/24669

Chicago Manual of Style (16^th Edition):

Mashayekhy, Morteza. “DEVELOPING SOCIAL CAPITAL THROUGH PROFESSIONALLY-ORIENTED SOCIAL NETWORK SITES.” 2019. Doctoral Dissertation, McMaster University. Accessed March 01, 2021. http://hdl.handle.net/11375/24669.

MLA Handbook (7^th Edition):

Mashayekhy, Morteza. “DEVELOPING SOCIAL CAPITAL THROUGH PROFESSIONALLY-ORIENTED SOCIAL NETWORK SITES.” 2019. Web. 01 Mar 2021.

Vancouver:

Mashayekhy M. DEVELOPING SOCIAL CAPITAL THROUGH PROFESSIONALLY-ORIENTED SOCIAL NETWORK SITES. [Internet] [Doctoral dissertation]. McMaster University; 2019. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/11375/24669.

Council of Science Editors:

Mashayekhy M. DEVELOPING SOCIAL CAPITAL THROUGH PROFESSIONALLY-ORIENTED SOCIAL NETWORK SITES. [Doctoral Dissertation]. McMaster University; 2019. Available from: http://hdl.handle.net/11375/24669

University of Notre Dame

17. Yang Yang. Network Dynamics: A Social Influence Perspective</h1>.

Degree: Computer Science and Engineering, 2015, University of Notre Dame

URL: https://curate.nd.edu/show/z029p269s21

► What drives the propensity for the social network dynamics? Social influence is believed to drive both off-line and on-line human behavior, however it has… (more)

Subjects/Keywords: link prediction; social network analysis; social influence; social network evolution

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APA (6^th Edition):

Yang, Y. (2015). Network Dynamics: A Social Influence Perspective</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/z029p269s21

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Yang, Yang. “Network Dynamics: A Social Influence Perspective</h1>.” 2015. Thesis, University of Notre Dame. Accessed March 01, 2021. https://curate.nd.edu/show/z029p269s21.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Yang, Yang. “Network Dynamics: A Social Influence Perspective</h1>.” 2015. Web. 01 Mar 2021.

Vancouver:

Yang Y. Network Dynamics: A Social Influence Perspective</h1>. [Internet] [Thesis]. University of Notre Dame; 2015. [cited 2021 Mar 01]. Available from: https://curate.nd.edu/show/z029p269s21.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yang Y. Network Dynamics: A Social Influence Perspective</h1>. [Thesis]. University of Notre Dame; 2015. Available from: https://curate.nd.edu/show/z029p269s21

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

NSYSU

18. Wu , Chiu-Yuan. The Construction and Influence of Social Networks within High School Classes.

Degree: Master, Institute of Sociology, 2018, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624118-151803

► The study is mainly divided into two parts. The first part focuses on the factors which the students are in accordance with to choose their… (more)

▼ The study is mainly divided into two parts. The first part focuses on the factors which the students are in accordance with to choose their social relationships. The second part then deals with how the changed social networks influence studentsâ academic achievements. The previous studies related to in-class social relationship often focused on analysis of friendship network. In addition to friendship network, this study includes another important in-class social networkâ âacademic advice network.â This study collected data of social network and academic grades twice from students in a selected senior high school which focuses on college entrance examination in Tainan. The analysis in first part reveals that students would construct friendships with those who hold similar academic performances and attributes in the pretest with them. However in the advice network, students would choose those who got better grades in midterm as their suitable advisers. Simultaneously, existing friendships and considerations of information reciprocity would also improve a studentâs odds of being chosen as an adviser. The result displays that motivations of constructing friendship network and advice network are two kinds of very different mechanisms. The previous studies which only focused on in-class friendship would oversimplify the conclusions. The analysis in second part then discusses whether the constructed âsocial relationshipsâ and the ânetwork structure positionsâ which they are in would influence their academic achievements. The result reveals that academic grades of a studentâs friends and classmates whom he had academic communication with would not spill over into his own via social interaction. Concurrently, the one who received much academic advice from others denotes higher outdegree centrality in academic advice network, but further, the one would not benefit himself on academic achievements. Nonetheless, the one who gave much academic advice denotes higher indegree centrality, and the one would then benefit his final. This study tries to propose the potential theoretical explanations on this phenomenon. Advisors/Committee Members: Thijs Velema (chair), Ko-Hua Yap (committee member), Wan-Chi Chen (chair).

Subjects/Keywords: social network analysis; academic achievement; centrality; academic advice network; friendship network

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APA (6^th Edition):

Wu , C. (2018). The Construction and Influence of Social Networks within High School Classes. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624118-151803

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wu , Chiu-Yuan. “The Construction and Influence of Social Networks within High School Classes.” 2018. Thesis, NSYSU. Accessed March 01, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624118-151803.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wu , Chiu-Yuan. “The Construction and Influence of Social Networks within High School Classes.” 2018. Web. 01 Mar 2021.

Vancouver:

Wu C. The Construction and Influence of Social Networks within High School Classes. [Internet] [Thesis]. NSYSU; 2018. [cited 2021 Mar 01]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624118-151803.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wu C. The Construction and Influence of Social Networks within High School Classes. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624118-151803

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology

19. Smid, Annemijn (author). Thinking in network terms: Brain functional networks in migraine and the analogy with the patient's social network.

Degree: 2018, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:3cc138cf-4fa3-44ce-b05e-656f847e67fe

►

Much is still unknown about the cause of migraine attacks in the brain. Similarly, a lot is unclear about the influence of patient-physician communication on… (more)

Subjects/Keywords: Migraine; Network analysis; Social network; Brain network; analogy; EEG

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APA (6^th Edition):

Smid, A. (. (2018). Thinking in network terms: Brain functional networks in migraine and the analogy with the patient's social network. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:3cc138cf-4fa3-44ce-b05e-656f847e67fe

Chicago Manual of Style (16^th Edition):

Smid, Annemijn (author). “Thinking in network terms: Brain functional networks in migraine and the analogy with the patient's social network.” 2018. Masters Thesis, Delft University of Technology. Accessed March 01, 2021. http://resolver.tudelft.nl/uuid:3cc138cf-4fa3-44ce-b05e-656f847e67fe.

MLA Handbook (7^th Edition):

Smid, Annemijn (author). “Thinking in network terms: Brain functional networks in migraine and the analogy with the patient's social network.” 2018. Web. 01 Mar 2021.

Vancouver:

Smid A(. Thinking in network terms: Brain functional networks in migraine and the analogy with the patient's social network. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Mar 01]. Available from: http://resolver.tudelft.nl/uuid:3cc138cf-4fa3-44ce-b05e-656f847e67fe.

Council of Science Editors:

Smid A(. Thinking in network terms: Brain functional networks in migraine and the analogy with the patient's social network. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:3cc138cf-4fa3-44ce-b05e-656f847e67fe

University of Georgia

20. Meisel, Matthew Kirwin. The compositional and structural characteristics of gamblers' social networks.

Degree: 2014, University of Georgia

URL: http://hdl.handle.net/10724/28559

► Individuals who are friends with others who participate in substance use are at a higher risk of engaging in similar behaviors. Two studies investigated the… (more)

Subjects/Keywords: Social network analysis; Pathological Gambling; Egocentric; Network structure; Network composition

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APA (6^th Edition):

Meisel, M. K. (2014). The compositional and structural characteristics of gamblers' social networks. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/28559

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Meisel, Matthew Kirwin. “The compositional and structural characteristics of gamblers' social networks.” 2014. Thesis, University of Georgia. Accessed March 01, 2021. http://hdl.handle.net/10724/28559.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Meisel, Matthew Kirwin. “The compositional and structural characteristics of gamblers' social networks.” 2014. Web. 01 Mar 2021.

Vancouver:

Meisel MK. The compositional and structural characteristics of gamblers' social networks. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10724/28559.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Meisel MK. The compositional and structural characteristics of gamblers' social networks. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/28559

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

NSYSU

21. Lai, Chien-hui. Network analysis of Cross markets stocks, Oil, Gold, Silver and Forex.

Degree: Master, Finance, 2017, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0526117-223859

► In this study we construct return correlation network for cross market listed stocks, commodities and foreign exchanges. Unlike conventional studies of market contagion, this study… (more)

Subjects/Keywords: commodity analysis; cross-market analysis; social network; centrality; return correlation network

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APA (6^th Edition):

Lai, C. (2017). Network analysis of Cross markets stocks, Oil, Gold, Silver and Forex. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0526117-223859

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Lai, Chien-hui. “Network analysis of Cross markets stocks, Oil, Gold, Silver and Forex.” 2017. Thesis, NSYSU. Accessed March 01, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0526117-223859.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Lai, Chien-hui. “Network analysis of Cross markets stocks, Oil, Gold, Silver and Forex.” 2017. Web. 01 Mar 2021.

Vancouver:

Lai C. Network analysis of Cross markets stocks, Oil, Gold, Silver and Forex. [Internet] [Thesis]. NSYSU; 2017. [cited 2021 Mar 01]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0526117-223859.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lai C. Network analysis of Cross markets stocks, Oil, Gold, Silver and Forex. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0526117-223859

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

22. Bjerkenås, S. Social Networking in the Workplace: Exploring the Structural Characteristics and Conversational Nature of Enterprise Social Networks.

Degree: 2016, Universiteit Utrecht

URL: http://dspace.library.uu.nl:8080/handle/1874/330497

► Enterprise Social Networks (ESNs) are recent and emergent sets of online platforms that allows for employees to collaborate and share information in the same manner… (more)

▼ Enterprise Social Networks (ESNs) are recent and emergent sets of online platforms that allows for employees to collaborate and share information in the same manner as in more commonly known Social Networking Sites (SNSs) such as Facebook. The proven value-add of these platform to organizations have caused its popularity to soar during recent years, and as a result, causing academia’s interest to rise accordingly. However, given the short time-span since ESNs started gaining interest among organizations, the study of how these platforms are being used by employees is still largely unexplored by the scientific community. By combining methods from the fields of social network analysis (SNA) and content analysis, this research aims to answer the questions of how the conversational nature of an ESN network is related to its structural characteristics, and how the users’ conversational nature is related to their structural characteristics. The exploration of these relations has been called for by earlier studies in the field, and is important in the sense that it illuminates how these new and exciting ways of collaborating actually manifests within an organization, and how employees’ influence within these networks relates to their conversational topics. The results obtained during this research show that the degree of clustering in an ESN is related to how much employees engages in discussions and conversations related to generating new ideas and brainstorming. These results provide grounds for postulating that these topics tend to generate more collective interest in participating in these communities as opposed to other topics such as plain information sharing and social talk. Furthermore, results show that employees with a high eigenvector centrality are the most influential in these networks, as they tend to occupy several other central positions simultaneously. Three distinct characteristics can be identified for these actors; they often engage in the exchange of personal opinions, they often provide links to resources of professional value for other employees to make use of, and they often provide updates about the current status of ongoing projects and alike. As far as this research has been able to discover, this is the first attempt to draw a connection between conversational topics and structural characteristics within the context of ESNs. These results will hopefully assist in advancing the understanding of how ESNs are being adopted and used by employees, and how these informal networks can be analyzed in a meaningful manner. Advisors/Committee Members: Helms, R. W., Riemer, K..

Subjects/Keywords: social network analysis; genre analysis; content analysis; enterprise social networks

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Bjerkenås, S. (2016). Social Networking in the Workplace: Exploring the Structural Characteristics and Conversational Nature of Enterprise Social Networks. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/330497

Chicago Manual of Style (16^th Edition):

Bjerkenås, S. “Social Networking in the Workplace: Exploring the Structural Characteristics and Conversational Nature of Enterprise Social Networks.” 2016. Masters Thesis, Universiteit Utrecht. Accessed March 01, 2021. http://dspace.library.uu.nl:8080/handle/1874/330497.

MLA Handbook (7^th Edition):

Bjerkenås, S. “Social Networking in the Workplace: Exploring the Structural Characteristics and Conversational Nature of Enterprise Social Networks.” 2016. Web. 01 Mar 2021.

Vancouver:

Bjerkenås S. Social Networking in the Workplace: Exploring the Structural Characteristics and Conversational Nature of Enterprise Social Networks. [Internet] [Masters thesis]. Universiteit Utrecht; 2016. [cited 2021 Mar 01]. Available from: http://dspace.library.uu.nl:8080/handle/1874/330497.

Council of Science Editors:

Bjerkenås S. Social Networking in the Workplace: Exploring the Structural Characteristics and Conversational Nature of Enterprise Social Networks. [Masters Thesis]. Universiteit Utrecht; 2016. Available from: http://dspace.library.uu.nl:8080/handle/1874/330497

Syracuse University

23. Areekijseree, Katchaguy. Network Sampling through Crawling.

Degree: PhD, Electrical Engineering and Computer Science, 2019, Syracuse University

URL: https://surface.syr.edu/etd/1108

► In recent years, researchers have increasingly used OSN data to study human behavior. Before such a study can begin, one must first obtain appropriate… (more)

▼ In recent years, researchers have increasingly used OSN data to study human behavior. Before such a study can begin, one must first obtain appropriate data. A platform, e.g, Facebook or Twitter, may provide an API for accessing data, but such APIs are often ratelimited, restricting the amount of data that an individual collects in a given amount of time. In order for the data collector to efficiently collect data, she needs to make intelligent use of her limited budget. Therefore, when collecting data, efficiency is extremely important. We consider the problem of network sampling through crawling, in which the data collectors have no knowledge of the network of interest except the identity of a starting node. The data collector can expand the observed sample by querying an observed node. While the network science literature has proposed numerous network crawling methods, it is not always easy for the data collector to select an appropriate method: methods that are successful on one network may fail on other networks. Here, we show that the performance of network crawling methods is highly dependent on the network structural properties. We identify three important network properties: community separation, average community size, and node degree. In addition, we provide guidelines to data collectors on how to select an appropriate crawling method for a particular network. Secondly, we propose a novel crawling algorithm, called DE-Crawler, and demonstrate that it performs the best across different network domains. Lastly, we consider the scenario in which there is are errors in the data collection process. These errors then lead to errors in a subsequent analysis task. Therefore, it is important for a data analyst to know if a collected sample is trustworthy. We introduce a robustness measure called sampling robustness, which measures how robust a network is under random edge deletion with respect to sampling. We demonstrate that sampling robustness highly depends on the network properties and users can estimate sampling robustness from the obtained sample. Advisors/Committee Members: Sucheta Soundarajan.

Subjects/Keywords: data collection; network analysis; network crawling; network sampling; social network mining; Engineering

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APA (6^th Edition):

Areekijseree, K. (2019). Network Sampling through Crawling. (Doctoral Dissertation). Syracuse University. Retrieved from https://surface.syr.edu/etd/1108

Chicago Manual of Style (16^th Edition):

Areekijseree, Katchaguy. “Network Sampling through Crawling.” 2019. Doctoral Dissertation, Syracuse University. Accessed March 01, 2021. https://surface.syr.edu/etd/1108.

MLA Handbook (7^th Edition):

Areekijseree, Katchaguy. “Network Sampling through Crawling.” 2019. Web. 01 Mar 2021.

Vancouver:

Areekijseree K. Network Sampling through Crawling. [Internet] [Doctoral dissertation]. Syracuse University; 2019. [cited 2021 Mar 01]. Available from: https://surface.syr.edu/etd/1108.

Council of Science Editors:

Areekijseree K. Network Sampling through Crawling. [Doctoral Dissertation]. Syracuse University; 2019. Available from: https://surface.syr.edu/etd/1108

University of California – Berkeley

24. Gong, Zhenqiang. Towards Secure and Privacy-Preserving Online Social Networking Services.

Degree: Electrical Engineering & Computer Sciences, 2015, University of California – Berkeley

URL: http://www.escholarship.org/uc/item/1b14t6kq

► Online social networking services (e.g., Facebook, Twitter, and Blogger) bring new benefits to almost all aspects of our lives. They have completely transformed how we… (more)

Subjects/Keywords: Computer science; authentication; social network analysis; social network security and privacy

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APA (6^th Edition):

Gong, Z. (2015). Towards Secure and Privacy-Preserving Online Social Networking Services. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/1b14t6kq

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Gong, Zhenqiang. “Towards Secure and Privacy-Preserving Online Social Networking Services.” 2015. Thesis, University of California – Berkeley. Accessed March 01, 2021. http://www.escholarship.org/uc/item/1b14t6kq.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Gong, Zhenqiang. “Towards Secure and Privacy-Preserving Online Social Networking Services.” 2015. Web. 01 Mar 2021.

Vancouver:

Gong Z. Towards Secure and Privacy-Preserving Online Social Networking Services. [Internet] [Thesis]. University of California – Berkeley; 2015. [cited 2021 Mar 01]. Available from: http://www.escholarship.org/uc/item/1b14t6kq.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gong Z. Towards Secure and Privacy-Preserving Online Social Networking Services. [Thesis]. University of California – Berkeley; 2015. Available from: http://www.escholarship.org/uc/item/1b14t6kq

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

KTH

25. Masuda, Noriyuki. A Mapping of Intra Research Park Networking Toward Efficient Utilization of Social Capital in Science Driven Innovation.

Degree: Entrepreneurship and innovation, 2015, KTH

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189274

► This thesis contributes to the advancement on the network view of social capital andentrepreneurship, focusing on science-based innovation by observatory social network research. The… (more)

Subjects/Keywords: Network; Social Network Analysis; SNA; Social Capital; Science-based innovation; science

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APA (6^th Edition):

Masuda, N. (2015). A Mapping of Intra Research Park Networking Toward Efficient Utilization of Social Capital in Science Driven Innovation. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189274

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Masuda, Noriyuki. “A Mapping of Intra Research Park Networking Toward Efficient Utilization of Social Capital in Science Driven Innovation.” 2015. Thesis, KTH. Accessed March 01, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189274.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Masuda, Noriyuki. “A Mapping of Intra Research Park Networking Toward Efficient Utilization of Social Capital in Science Driven Innovation.” 2015. Web. 01 Mar 2021.

Vancouver:

Masuda N. A Mapping of Intra Research Park Networking Toward Efficient Utilization of Social Capital in Science Driven Innovation. [Internet] [Thesis]. KTH; 2015. [cited 2021 Mar 01]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189274.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Masuda N. A Mapping of Intra Research Park Networking Toward Efficient Utilization of Social Capital in Science Driven Innovation. [Thesis]. KTH; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189274

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Colorado State University

26. Fagan, Jesse M. Evolution of community structure in the system of global environmental governance.

Degree: MA, Sociology, 2011, Colorado State University

URL: http://hdl.handle.net/10217/47269

► Self-organization can arise in systems where actors interact in non-trivial ways and adapt their rule-sets in response to their environment. In the global system of… (more)

Subjects/Keywords: community structure; social network analysis; network analysis; international environmental treaties; dynamic network

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APA (6^th Edition):

Fagan, J. M. (2011). Evolution of community structure in the system of global environmental governance. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/47269

Chicago Manual of Style (16^th Edition):

Fagan, Jesse M. “Evolution of community structure in the system of global environmental governance.” 2011. Masters Thesis, Colorado State University. Accessed March 01, 2021. http://hdl.handle.net/10217/47269.

MLA Handbook (7^th Edition):

Fagan, Jesse M. “Evolution of community structure in the system of global environmental governance.” 2011. Web. 01 Mar 2021.

Vancouver:

Fagan JM. Evolution of community structure in the system of global environmental governance. [Internet] [Masters thesis]. Colorado State University; 2011. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10217/47269.

Council of Science Editors:

Fagan JM. Evolution of community structure in the system of global environmental governance. [Masters Thesis]. Colorado State University; 2011. Available from: http://hdl.handle.net/10217/47269

Rice University

27. Stewart, Jonathan Roy. Consistent estimation of high-dimensional random graph models with dependent edge variables.

Degree: PhD, Engineering, 2020, Rice University

URL: http://hdl.handle.net/1911/108443

► An important question in statistical network analysis is how to construct models of random graphs with dependent edges without sacrificing computational scalability and statistical guarantees.… (more)

Subjects/Keywords: statistical network analysis; network data; exponential families; exponential-family random graph models; social network analysis

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APA (6^th Edition):

Stewart, J. R. (2020). Consistent estimation of high-dimensional random graph models with dependent edge variables. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/108443

Chicago Manual of Style (16^th Edition):

Stewart, Jonathan Roy. “Consistent estimation of high-dimensional random graph models with dependent edge variables.” 2020. Doctoral Dissertation, Rice University. Accessed March 01, 2021. http://hdl.handle.net/1911/108443.

MLA Handbook (7^th Edition):

Stewart, Jonathan Roy. “Consistent estimation of high-dimensional random graph models with dependent edge variables.” 2020. Web. 01 Mar 2021.

Vancouver:

Stewart JR. Consistent estimation of high-dimensional random graph models with dependent edge variables. [Internet] [Doctoral dissertation]. Rice University; 2020. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1911/108443.

Council of Science Editors:

Stewart JR. Consistent estimation of high-dimensional random graph models with dependent edge variables. [Doctoral Dissertation]. Rice University; 2020. Available from: http://hdl.handle.net/1911/108443

Mississippi State University

28. Vechan, Eric. Using social network analysis for civil infrastructure management.

Degree: PhD, Civil and Environmental Engineering, 2015, Mississippi State University

URL: http://sun.library.msstate.edu/ETD-db/theses/available/etd-05012015-150103/ ;

► It is essential to build, maintain, and use our transportation systems in a manner that meets our current needs while addressing the social and… (more)

Subjects/Keywords: Centrality; Social Network Analysis; Civil Infrastructure

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APA (6^th Edition):

Vechan, E. (2015). Using social network analysis for civil infrastructure management. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-05012015-150103/ ;

Chicago Manual of Style (16^th Edition):

Vechan, Eric. “Using social network analysis for civil infrastructure management.” 2015. Doctoral Dissertation, Mississippi State University. Accessed March 01, 2021. http://sun.library.msstate.edu/ETD-db/theses/available/etd-05012015-150103/ ;.

MLA Handbook (7^th Edition):

Vechan, Eric. “Using social network analysis for civil infrastructure management.” 2015. Web. 01 Mar 2021.

Vancouver:

Vechan E. Using social network analysis for civil infrastructure management. [Internet] [Doctoral dissertation]. Mississippi State University; 2015. [cited 2021 Mar 01]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-05012015-150103/ ;.

Council of Science Editors:

Vechan E. Using social network analysis for civil infrastructure management. [Doctoral Dissertation]. Mississippi State University; 2015. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-05012015-150103/ ;

University of Alberta

29. Rabbany khorasgani, Reihaneh. COMMUNITY MINING AND ITS APPLICATIONS IN EDUCATIONAL ENVIRONMENT.

Degree: MS, Department of Computing Science, 2010, University of Alberta

URL: https://era.library.ualberta.ca/files/6682x4562

► Information networks represent relations in data, relationships typically ignored in iid (independent and identically distributed) data. Such networks abound, like coauthorships in bibliometrics, cellphone call… (more)

Subjects/Keywords: Social Network Analysis; E-learning; Community Mining

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APA (6^th Edition):

Rabbany khorasgani, R. (2010). COMMUNITY MINING AND ITS APPLICATIONS IN EDUCATIONAL ENVIRONMENT. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/6682x4562

Chicago Manual of Style (16^th Edition):

Rabbany khorasgani, Reihaneh. “COMMUNITY MINING AND ITS APPLICATIONS IN EDUCATIONAL ENVIRONMENT.” 2010. Masters Thesis, University of Alberta. Accessed March 01, 2021. https://era.library.ualberta.ca/files/6682x4562.

MLA Handbook (7^th Edition):

Rabbany khorasgani, Reihaneh. “COMMUNITY MINING AND ITS APPLICATIONS IN EDUCATIONAL ENVIRONMENT.” 2010. Web. 01 Mar 2021.

Vancouver:

Rabbany khorasgani R. COMMUNITY MINING AND ITS APPLICATIONS IN EDUCATIONAL ENVIRONMENT. [Internet] [Masters thesis]. University of Alberta; 2010. [cited 2021 Mar 01]. Available from: https://era.library.ualberta.ca/files/6682x4562.

Council of Science Editors:

Rabbany khorasgani R. COMMUNITY MINING AND ITS APPLICATIONS IN EDUCATIONAL ENVIRONMENT. [Masters Thesis]. University of Alberta; 2010. Available from: https://era.library.ualberta.ca/files/6682x4562

University of Alberta

30. Hu, Wei. Using Citation Influence and Social Network Analysis to Predict Software Defects.

Degree: MS, Department of Computing Science, 2013, University of Alberta

URL: https://era.library.ualberta.ca/files/b8515n50j

► Resource constraints, e.g. lack of time and human resources, is a major issue in software testing practice. In short, testers have limited time to test… (more)

Subjects/Keywords: social network analysis; citation influence; software defects

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APA (6^th Edition):

Hu, W. (2013). Using Citation Influence and Social Network Analysis to Predict Software Defects. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/b8515n50j

Chicago Manual of Style (16^th Edition):

Hu, Wei. “Using Citation Influence and Social Network Analysis to Predict Software Defects.” 2013. Masters Thesis, University of Alberta. Accessed March 01, 2021. https://era.library.ualberta.ca/files/b8515n50j.

MLA Handbook (7^th Edition):

Hu, Wei. “Using Citation Influence and Social Network Analysis to Predict Software Defects.” 2013. Web. 01 Mar 2021.

Vancouver:

Hu W. Using Citation Influence and Social Network Analysis to Predict Software Defects. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2021 Mar 01]. Available from: https://era.library.ualberta.ca/files/b8515n50j.

Council of Science Editors:

Hu W. Using Citation Influence and Social Network Analysis to Predict Software Defects. [Masters Thesis]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/b8515n50j

Open Access Theses and Dissertations