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You searched for subject:(Social Networks Community Detection). Showing records 1 – 30 of 236571 total matches.

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Cornell University

1. Andrews, June. Community Detection In Large Networks.

Degree: PhD, Applied Mathematics, 2012, Cornell University

 Graphs are used to represent various large and complex networks in scientific applications. In order to understand the structure of these graphs, it is useful… (more)

Subjects/Keywords: community detection; social networks

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APA (6th Edition):

Andrews, J. (2012). Community Detection In Large Networks. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/31046

Chicago Manual of Style (16th Edition):

Andrews, June. “Community Detection In Large Networks.” 2012. Doctoral Dissertation, Cornell University. Accessed January 15, 2021. http://hdl.handle.net/1813/31046.

MLA Handbook (7th Edition):

Andrews, June. “Community Detection In Large Networks.” 2012. Web. 15 Jan 2021.

Vancouver:

Andrews J. Community Detection In Large Networks. [Internet] [Doctoral dissertation]. Cornell University; 2012. [cited 2021 Jan 15]. Available from: http://hdl.handle.net/1813/31046.

Council of Science Editors:

Andrews J. Community Detection In Large Networks. [Doctoral Dissertation]. Cornell University; 2012. Available from: http://hdl.handle.net/1813/31046


University of Sydney

2. Amiri, Babak. Evolutionary Algorithms for Community Detection in Complex Networks .

Degree: 2013, University of Sydney

 In recent years there has been a surge of community detection study of complex network analysis, since communities often play important roles in network systems.… (more)

Subjects/Keywords: Community Detection; Evolutionary Algorithms; Modularity; Social Networks

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APA (6th Edition):

Amiri, B. (2013). Evolutionary Algorithms for Community Detection in Complex Networks . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/10451

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):

Amiri, Babak. “Evolutionary Algorithms for Community Detection in Complex Networks .” 2013. Thesis, University of Sydney. Accessed January 15, 2021. http://hdl.handle.net/2123/10451.

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

MLA Handbook (7th Edition):

Amiri, Babak. “Evolutionary Algorithms for Community Detection in Complex Networks .” 2013. Web. 15 Jan 2021.

Vancouver:

Amiri B. Evolutionary Algorithms for Community Detection in Complex Networks . [Internet] [Thesis]. University of Sydney; 2013. [cited 2021 Jan 15]. Available from: http://hdl.handle.net/2123/10451.

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

Council of Science Editors:

Amiri B. Evolutionary Algorithms for Community Detection in Complex Networks . [Thesis]. University of Sydney; 2013. Available from: http://hdl.handle.net/2123/10451

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


The Ohio State University

3. Wang, Yu. Revisiting Network Sampling.

Degree: PhD, Computer Science and Engineering, 2019, The Ohio State University

Networks are an expressive tool to represent relational data in various domains: an email network in a corporate, a co-sponsorship network in Congress, a co-authorship… (more)

Subjects/Keywords: Computer Science; Statistics; Social Networks, Sampling, Dynamic Networks, Community Detection

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

APA (6th Edition):

Wang, Y. (2019). Revisiting Network Sampling. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1546425835709593

Chicago Manual of Style (16th Edition):

Wang, Yu. “Revisiting Network Sampling.” 2019. Doctoral Dissertation, The Ohio State University. Accessed January 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1546425835709593.

MLA Handbook (7th Edition):

Wang, Yu. “Revisiting Network Sampling.” 2019. Web. 15 Jan 2021.

Vancouver:

Wang Y. Revisiting Network Sampling. [Internet] [Doctoral dissertation]. The Ohio State University; 2019. [cited 2021 Jan 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1546425835709593.

Council of Science Editors:

Wang Y. Revisiting Network Sampling. [Doctoral Dissertation]. The Ohio State University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1546425835709593


Australian National University

4. Rezvani, Mojtaba. Community Structure in Large-Scale Complex Networks .

Degree: 2019, Australian National University

 Vertices in complex networks can be grouped into communities, where vertices inside communities are densely connected to each other and vertices from one community are… (more)

Subjects/Keywords: complex networks; community structure; community detection; community search; overlapping community detection; structural hole spanners; social networks; large-scale networks; large-scale graphs

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

APA (6th Edition):

Rezvani, M. (2019). Community Structure in Large-Scale Complex Networks . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/187032

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):

Rezvani, Mojtaba. “Community Structure in Large-Scale Complex Networks .” 2019. Thesis, Australian National University. Accessed January 15, 2021. http://hdl.handle.net/1885/187032.

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

MLA Handbook (7th Edition):

Rezvani, Mojtaba. “Community Structure in Large-Scale Complex Networks .” 2019. Web. 15 Jan 2021.

Vancouver:

Rezvani M. Community Structure in Large-Scale Complex Networks . [Internet] [Thesis]. Australian National University; 2019. [cited 2021 Jan 15]. Available from: http://hdl.handle.net/1885/187032.

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

Council of Science Editors:

Rezvani M. Community Structure in Large-Scale Complex Networks . [Thesis]. Australian National University; 2019. Available from: http://hdl.handle.net/1885/187032

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


Penn State University

5. Ghurye, Akshay Dattatraya. DETECTION AND EVALUATION OF COMMUNITY STRUCTURES IN SOCIAL NETWORKS .

Degree: 2011, Penn State University

 In today's world, social media networks capture interactions among people through comments on blogs, posts and feeds. The public availability of these networks has allowed… (more)

Subjects/Keywords: parallel programming; community detection; overlapping; social networks; complexity

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

APA (6th Edition):

Ghurye, A. D. (2011). DETECTION AND EVALUATION OF COMMUNITY STRUCTURES IN SOCIAL NETWORKS . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/12603

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):

Ghurye, Akshay Dattatraya. “DETECTION AND EVALUATION OF COMMUNITY STRUCTURES IN SOCIAL NETWORKS .” 2011. Thesis, Penn State University. Accessed January 15, 2021. https://submit-etda.libraries.psu.edu/catalog/12603.

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

MLA Handbook (7th Edition):

Ghurye, Akshay Dattatraya. “DETECTION AND EVALUATION OF COMMUNITY STRUCTURES IN SOCIAL NETWORKS .” 2011. Web. 15 Jan 2021.

Vancouver:

Ghurye AD. DETECTION AND EVALUATION OF COMMUNITY STRUCTURES IN SOCIAL NETWORKS . [Internet] [Thesis]. Penn State University; 2011. [cited 2021 Jan 15]. Available from: https://submit-etda.libraries.psu.edu/catalog/12603.

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

Council of Science Editors:

Ghurye AD. DETECTION AND EVALUATION OF COMMUNITY STRUCTURES IN SOCIAL NETWORKS . [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/12603

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


Queensland University of Technology

6. Alsaleh, Slah. Recommending people in social networks using data mining.

Degree: 2013, Queensland University of Technology

 This thesis improves the process of recommending people to people in social networks using new clustering algorithms and ranking methods. The proposed system and methods… (more)

Subjects/Keywords: Recommendation; Social networks; Community detection; Clustering; Constraints; Ranking

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APA (6th Edition):

Alsaleh, S. (2013). Recommending people in social networks using data mining. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/61736/

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):

Alsaleh, Slah. “Recommending people in social networks using data mining.” 2013. Thesis, Queensland University of Technology. Accessed January 15, 2021. https://eprints.qut.edu.au/61736/.

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

MLA Handbook (7th Edition):

Alsaleh, Slah. “Recommending people in social networks using data mining.” 2013. Web. 15 Jan 2021.

Vancouver:

Alsaleh S. Recommending people in social networks using data mining. [Internet] [Thesis]. Queensland University of Technology; 2013. [cited 2021 Jan 15]. Available from: https://eprints.qut.edu.au/61736/.

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

Council of Science Editors:

Alsaleh S. Recommending people in social networks using data mining. [Thesis]. Queensland University of Technology; 2013. Available from: https://eprints.qut.edu.au/61736/

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


University of Illinois – Urbana-Champaign

7. Xu, Jiaming. Statistical inference in networks: fundamental limits and efficient algorithms.

Degree: PhD, 1200, 2015, University of Illinois – Urbana-Champaign

 Today witnesses an explosion of data coming from various types of networks such as online social networks and biological networks. The goal of this thesis… (more)

Subjects/Keywords: Community detection; Networks; Statistical inference

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

APA (6th Edition):

Xu, J. (2015). Statistical inference in networks: fundamental limits and efficient algorithms. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/72799

Chicago Manual of Style (16th Edition):

Xu, Jiaming. “Statistical inference in networks: fundamental limits and efficient algorithms.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed January 15, 2021. http://hdl.handle.net/2142/72799.

MLA Handbook (7th Edition):

Xu, Jiaming. “Statistical inference in networks: fundamental limits and efficient algorithms.” 2015. Web. 15 Jan 2021.

Vancouver:

Xu J. Statistical inference in networks: fundamental limits and efficient algorithms. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2021 Jan 15]. Available from: http://hdl.handle.net/2142/72799.

Council of Science Editors:

Xu J. Statistical inference in networks: fundamental limits and efficient algorithms. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/72799


Indian Institute of Science

8. Narayanam, Ramasuri. Game Theoretic Models For Social Network Analysis.

Degree: PhD, Faculty of Engineering, 2014, Indian Institute of Science

 With increasing demand for social network based activities, it is very important to understand not only the structural properties of social networks but also how… (more)

Subjects/Keywords: Game Theory; Social Networks; Social Network Analysis; Social Networks - Influential Nodes; Social Networks - Community Detection; Social Network Formation; Social Networks - Game Theoretic Model; Shapley Value; Computer Science

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

APA (6th Edition):

Narayanam, R. (2014). Game Theoretic Models For Social Network Analysis. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/2350

Chicago Manual of Style (16th Edition):

Narayanam, Ramasuri. “Game Theoretic Models For Social Network Analysis.” 2014. Doctoral Dissertation, Indian Institute of Science. Accessed January 15, 2021. http://etd.iisc.ac.in/handle/2005/2350.

MLA Handbook (7th Edition):

Narayanam, Ramasuri. “Game Theoretic Models For Social Network Analysis.” 2014. Web. 15 Jan 2021.

Vancouver:

Narayanam R. Game Theoretic Models For Social Network Analysis. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2014. [cited 2021 Jan 15]. Available from: http://etd.iisc.ac.in/handle/2005/2350.

Council of Science Editors:

Narayanam R. Game Theoretic Models For Social Network Analysis. [Doctoral Dissertation]. Indian Institute of Science; 2014. Available from: http://etd.iisc.ac.in/handle/2005/2350


University of Windsor

9. Pandey, Mukund. The Role of Prior Knowledge in Multi-Population Cultural Algorithms for Community Detection in Dynamic Social Networks.

Degree: MS, Computer Science, 2017, University of Windsor

 The relationship between a community and the knowledge that it encompasses is a fundamentally important aspect of any social network. Communities, with some level of… (more)

Subjects/Keywords: Community Detection; Dynamic Social Networks; Knowledge Sharing; Multi-Population Cultural Algorithm; Prior Knowledge

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

APA (6th Edition):

Pandey, M. (2017). The Role of Prior Knowledge in Multi-Population Cultural Algorithms for Community Detection in Dynamic Social Networks. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/6007

Chicago Manual of Style (16th Edition):

Pandey, Mukund. “The Role of Prior Knowledge in Multi-Population Cultural Algorithms for Community Detection in Dynamic Social Networks.” 2017. Masters Thesis, University of Windsor. Accessed January 15, 2021. https://scholar.uwindsor.ca/etd/6007.

MLA Handbook (7th Edition):

Pandey, Mukund. “The Role of Prior Knowledge in Multi-Population Cultural Algorithms for Community Detection in Dynamic Social Networks.” 2017. Web. 15 Jan 2021.

Vancouver:

Pandey M. The Role of Prior Knowledge in Multi-Population Cultural Algorithms for Community Detection in Dynamic Social Networks. [Internet] [Masters thesis]. University of Windsor; 2017. [cited 2021 Jan 15]. Available from: https://scholar.uwindsor.ca/etd/6007.

Council of Science Editors:

Pandey M. The Role of Prior Knowledge in Multi-Population Cultural Algorithms for Community Detection in Dynamic Social Networks. [Masters Thesis]. University of Windsor; 2017. Available from: https://scholar.uwindsor.ca/etd/6007

10. Pichugina, Oksana. Community Detection in Multi-Layer Networks .

Degree: Department of Mathematics, Brock University

 In the scope of the current thesis we review and analyse networks that are formed by nodes with several attributes. We suppose that different layers… (more)

Subjects/Keywords: Attributed Social Networks; Community Detection

…Problem 1. Community detection in attributed networks that combines a network structure… …networks and community detection algorithms. Chapter 3 contains the information that is already… …other related questions. Among a variety of networks, social networks, which reflect a… …diversity of people relationships, are a priority. Why the investigation of social networks is so… …goals. In many types of networks and in social networks particularly exist observable and… 

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APA (6th Edition):

Pichugina, O. (n.d.). Community Detection in Multi-Layer Networks . (Thesis). Brock University. Retrieved from http://hdl.handle.net/10464/7324

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pichugina, Oksana. “Community Detection in Multi-Layer Networks .” Thesis, Brock University. Accessed January 15, 2021. http://hdl.handle.net/10464/7324.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pichugina, Oksana. “Community Detection in Multi-Layer Networks .” Web. 15 Jan 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Pichugina O. Community Detection in Multi-Layer Networks . [Internet] [Thesis]. Brock University; [cited 2021 Jan 15]. Available from: http://hdl.handle.net/10464/7324.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Pichugina O. Community Detection in Multi-Layer Networks . [Thesis]. Brock University; Available from: http://hdl.handle.net/10464/7324

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.


Georgia Tech

11. Godbole, Pushkar J. Agglomerative clustering for community detection in dynamic graphs.

Degree: MS, Computational Science and Engineering, 2016, Georgia Tech

 Agglomerative Clustering techniques work by recursively merging graph vertices into communities, to maximize a clustering quality metric. The metric of Modularity coined by Newman and… (more)

Subjects/Keywords: Dynamic graphs; Agglomeration; Clustering; Modularity; Social networks; Community detection; Stinger; Streaming algorithms

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

APA (6th Edition):

Godbole, P. J. (2016). Agglomerative clustering for community detection in dynamic graphs. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55065

Chicago Manual of Style (16th Edition):

Godbole, Pushkar J. “Agglomerative clustering for community detection in dynamic graphs.” 2016. Masters Thesis, Georgia Tech. Accessed January 15, 2021. http://hdl.handle.net/1853/55065.

MLA Handbook (7th Edition):

Godbole, Pushkar J. “Agglomerative clustering for community detection in dynamic graphs.” 2016. Web. 15 Jan 2021.

Vancouver:

Godbole PJ. Agglomerative clustering for community detection in dynamic graphs. [Internet] [Masters thesis]. Georgia Tech; 2016. [cited 2021 Jan 15]. Available from: http://hdl.handle.net/1853/55065.

Council of Science Editors:

Godbole PJ. Agglomerative clustering for community detection in dynamic graphs. [Masters Thesis]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55065


Université Catholique de Louvain

12. Krings, Gautier. Extraction of information from large networks.

Degree: 2012, Université Catholique de Louvain

Every day, millions of customers of mobile phone operators communicate via phone calls, SMS or MMS. These interactions can be represented by a large network,… (more)

Subjects/Keywords: Complex networks; Geographical networks; Dynamical networks; Mobile phone networks; Community detection

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

APA (6th Edition):

Krings, G. (2012). Extraction of information from large networks. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/109685

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):

Krings, Gautier. “Extraction of information from large networks.” 2012. Thesis, Université Catholique de Louvain. Accessed January 15, 2021. http://hdl.handle.net/2078.1/109685.

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

MLA Handbook (7th Edition):

Krings, Gautier. “Extraction of information from large networks.” 2012. Web. 15 Jan 2021.

Vancouver:

Krings G. Extraction of information from large networks. [Internet] [Thesis]. Université Catholique de Louvain; 2012. [cited 2021 Jan 15]. Available from: http://hdl.handle.net/2078.1/109685.

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

Council of Science Editors:

Krings G. Extraction of information from large networks. [Thesis]. Université Catholique de Louvain; 2012. Available from: http://hdl.handle.net/2078.1/109685

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


Penn State University

13. Adi, Mohammad. Using Ants to Find Communities in Complex Networks.

Degree: 2014, Penn State University

 Many systems arising in different fields can be described as complex networks, a collection of nodes and edges connecting nodes. An interesting property of these… (more)

Subjects/Keywords: ant-algorithms; complex-networks; community-detection

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

APA (6th Edition):

Adi, M. (2014). Using Ants to Find Communities in Complex Networks. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/21544

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):

Adi, Mohammad. “Using Ants to Find Communities in Complex Networks.” 2014. Thesis, Penn State University. Accessed January 15, 2021. https://submit-etda.libraries.psu.edu/catalog/21544.

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

MLA Handbook (7th Edition):

Adi, Mohammad. “Using Ants to Find Communities in Complex Networks.” 2014. Web. 15 Jan 2021.

Vancouver:

Adi M. Using Ants to Find Communities in Complex Networks. [Internet] [Thesis]. Penn State University; 2014. [cited 2021 Jan 15]. Available from: https://submit-etda.libraries.psu.edu/catalog/21544.

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

Council of Science Editors:

Adi M. Using Ants to Find Communities in Complex Networks. [Thesis]. Penn State University; 2014. Available from: https://submit-etda.libraries.psu.edu/catalog/21544

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


University of Adelaide

14. Le, Ba Dung. Community detection in complex networks.

Degree: 2018, University of Adelaide

 Complex networks such as social networks and biological networks represent complex systems in the real world. These networks usually consist of communities which are groups… (more)

Subjects/Keywords: Community detection; complex networks; network clustering

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

APA (6th Edition):

Le, B. D. (2018). Community detection in complex networks. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/117956

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):

Le, Ba Dung. “Community detection in complex networks.” 2018. Thesis, University of Adelaide. Accessed January 15, 2021. http://hdl.handle.net/2440/117956.

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

MLA Handbook (7th Edition):

Le, Ba Dung. “Community detection in complex networks.” 2018. Web. 15 Jan 2021.

Vancouver:

Le BD. Community detection in complex networks. [Internet] [Thesis]. University of Adelaide; 2018. [cited 2021 Jan 15]. Available from: http://hdl.handle.net/2440/117956.

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

Council of Science Editors:

Le BD. Community detection in complex networks. [Thesis]. University of Adelaide; 2018. Available from: http://hdl.handle.net/2440/117956

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


Virginia Tech

15. Senthil, Rathna. IDLE: A Novel Approach to Improving Overlapping Community Detection in Complex Networks.

Degree: MS, Computer Science and Applications, 2016, Virginia Tech

 Complex systems in areas such as biology, physics, social science, and technology are extensively modeled as networks due to the rich set of tools available… (more)

Subjects/Keywords: Overlapping Community Detection; Complex Networks; Local Expansion

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APA (6th Edition):

Senthil, R. (2016). IDLE: A Novel Approach to Improving Overlapping Community Detection in Complex Networks. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/65160

Chicago Manual of Style (16th Edition):

Senthil, Rathna. “IDLE: A Novel Approach to Improving Overlapping Community Detection in Complex Networks.” 2016. Masters Thesis, Virginia Tech. Accessed January 15, 2021. http://hdl.handle.net/10919/65160.

MLA Handbook (7th Edition):

Senthil, Rathna. “IDLE: A Novel Approach to Improving Overlapping Community Detection in Complex Networks.” 2016. Web. 15 Jan 2021.

Vancouver:

Senthil R. IDLE: A Novel Approach to Improving Overlapping Community Detection in Complex Networks. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2021 Jan 15]. Available from: http://hdl.handle.net/10919/65160.

Council of Science Editors:

Senthil R. IDLE: A Novel Approach to Improving Overlapping Community Detection in Complex Networks. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/65160


Carnegie Mellon University

16. Benigni, Matthew Curran. Detection and Analysis of Online Extremist Communities.

Degree: 2017, Carnegie Mellon University

 Online social networks have become a powerful venue for political activism. In many cases large, insular online communities form that have been shown to be… (more)

Subjects/Keywords: Covert Network Detection; Community Detection; Annotated Networks; Multilayer Networks; Heterogeneous Networks; Spectral Clustering

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APA (6th Edition):

Benigni, M. C. (2017). Detection and Analysis of Online Extremist Communities. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/949

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):

Benigni, Matthew Curran. “Detection and Analysis of Online Extremist Communities.” 2017. Thesis, Carnegie Mellon University. Accessed January 15, 2021. http://repository.cmu.edu/dissertations/949.

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

MLA Handbook (7th Edition):

Benigni, Matthew Curran. “Detection and Analysis of Online Extremist Communities.” 2017. Web. 15 Jan 2021.

Vancouver:

Benigni MC. Detection and Analysis of Online Extremist Communities. [Internet] [Thesis]. Carnegie Mellon University; 2017. [cited 2021 Jan 15]. Available from: http://repository.cmu.edu/dissertations/949.

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

Council of Science Editors:

Benigni MC. Detection and Analysis of Online Extremist Communities. [Thesis]. Carnegie Mellon University; 2017. Available from: http://repository.cmu.edu/dissertations/949

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


Penn State University

17. Raghavan, Ushanandini. CLUSTERING AND CONNECTIVITY PROBLEMS IN COMPLEX NETWORKS.

Degree: 2008, Penn State University

 Networked systems pervade this world. From social relationships between people to chemical interactions between bio-molecules to wired or wireless communications between technological devices, networks play… (more)

Subjects/Keywords: networks; social networks; community detection; wireless sensor networks; clustering; connectivity

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

APA (6th Edition):

Raghavan, U. (2008). CLUSTERING AND CONNECTIVITY PROBLEMS IN COMPLEX NETWORKS. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/8598

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):

Raghavan, Ushanandini. “CLUSTERING AND CONNECTIVITY PROBLEMS IN COMPLEX NETWORKS.” 2008. Thesis, Penn State University. Accessed January 15, 2021. https://submit-etda.libraries.psu.edu/catalog/8598.

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

MLA Handbook (7th Edition):

Raghavan, Ushanandini. “CLUSTERING AND CONNECTIVITY PROBLEMS IN COMPLEX NETWORKS.” 2008. Web. 15 Jan 2021.

Vancouver:

Raghavan U. CLUSTERING AND CONNECTIVITY PROBLEMS IN COMPLEX NETWORKS. [Internet] [Thesis]. Penn State University; 2008. [cited 2021 Jan 15]. Available from: https://submit-etda.libraries.psu.edu/catalog/8598.

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

Council of Science Editors:

Raghavan U. CLUSTERING AND CONNECTIVITY PROBLEMS IN COMPLEX NETWORKS. [Thesis]. Penn State University; 2008. Available from: https://submit-etda.libraries.psu.edu/catalog/8598

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


University of Sydney

18. Liu, Long. Modelling and Vulnerability Assessment of Intelligent Electricity Networks as Cyber-Physical Systems .

Degree: 2017, University of Sydney

 The future grid is different from the current system, and requires more interactions between electrical network and data communication network from the end users to… (more)

Subjects/Keywords: smart grid; interdependent networks; vulnerability assessment; complex networks; community detection

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

APA (6th Edition):

Liu, L. (2017). Modelling and Vulnerability Assessment of Intelligent Electricity Networks as Cyber-Physical Systems . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/17846

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):

Liu, Long. “Modelling and Vulnerability Assessment of Intelligent Electricity Networks as Cyber-Physical Systems .” 2017. Thesis, University of Sydney. Accessed January 15, 2021. http://hdl.handle.net/2123/17846.

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

MLA Handbook (7th Edition):

Liu, Long. “Modelling and Vulnerability Assessment of Intelligent Electricity Networks as Cyber-Physical Systems .” 2017. Web. 15 Jan 2021.

Vancouver:

Liu L. Modelling and Vulnerability Assessment of Intelligent Electricity Networks as Cyber-Physical Systems . [Internet] [Thesis]. University of Sydney; 2017. [cited 2021 Jan 15]. Available from: http://hdl.handle.net/2123/17846.

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

Council of Science Editors:

Liu L. Modelling and Vulnerability Assessment of Intelligent Electricity Networks as Cyber-Physical Systems . [Thesis]. University of Sydney; 2017. Available from: http://hdl.handle.net/2123/17846

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

19. Rabbany khorasgani, Reihaneh. Modular Structure of Complex Networks.

Degree: PhD, Department of Computing Science, 2016, University of Alberta

 Complex networks represent the relationships or interactions between entities in a complex system, such as biological interactions between proteins and genes, hyperlinks between web pages,… (more)

Subjects/Keywords: Complex Networks; Community Detection; Community Evaluation; Network Models; Clustering Agreement; Clustering Networks; Attributed Graphs

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APA (6th Edition):

Rabbany khorasgani, R. (2016). Modular Structure of Complex Networks. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/cxk81jk64k

Chicago Manual of Style (16th Edition):

Rabbany khorasgani, Reihaneh. “Modular Structure of Complex Networks.” 2016. Doctoral Dissertation, University of Alberta. Accessed January 15, 2021. https://era.library.ualberta.ca/files/cxk81jk64k.

MLA Handbook (7th Edition):

Rabbany khorasgani, Reihaneh. “Modular Structure of Complex Networks.” 2016. Web. 15 Jan 2021.

Vancouver:

Rabbany khorasgani R. Modular Structure of Complex Networks. [Internet] [Doctoral dissertation]. University of Alberta; 2016. [cited 2021 Jan 15]. Available from: https://era.library.ualberta.ca/files/cxk81jk64k.

Council of Science Editors:

Rabbany khorasgani R. Modular Structure of Complex Networks. [Doctoral Dissertation]. University of Alberta; 2016. Available from: https://era.library.ualberta.ca/files/cxk81jk64k

20. Kulkarni, Ketki. Community Detection in Social Networks.

Degree: MS, Computer Science, 2017, San Jose State University

  The rise of the Internet has brought people closer. The number of interactions between people across the globe has gone substantially up due to… (more)

Subjects/Keywords: social networks; community detection; OS and Networks; Theory and Algorithms

…and statistical properties of social networks in order to leverage them to improve their… …retrieval. One such method is the community detection. Community in a large network is a… …community detection revolves around finding such implicit communities in which the nodes that… …After studying and analyzing the existing community detection algorithms, we are proposing… …and B. Centrality: All the community detection algorithms are based on one or more… 

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

APA (6th Edition):

Kulkarni, K. (2017). Community Detection in Social Networks. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.hn5z-3hp9 ; https://scholarworks.sjsu.edu/etd_projects/528

Chicago Manual of Style (16th Edition):

Kulkarni, Ketki. “Community Detection in Social Networks.” 2017. Masters Thesis, San Jose State University. Accessed January 15, 2021. https://doi.org/10.31979/etd.hn5z-3hp9 ; https://scholarworks.sjsu.edu/etd_projects/528.

MLA Handbook (7th Edition):

Kulkarni, Ketki. “Community Detection in Social Networks.” 2017. Web. 15 Jan 2021.

Vancouver:

Kulkarni K. Community Detection in Social Networks. [Internet] [Masters thesis]. San Jose State University; 2017. [cited 2021 Jan 15]. Available from: https://doi.org/10.31979/etd.hn5z-3hp9 ; https://scholarworks.sjsu.edu/etd_projects/528.

Council of Science Editors:

Kulkarni K. Community Detection in Social Networks. [Masters Thesis]. San Jose State University; 2017. Available from: https://doi.org/10.31979/etd.hn5z-3hp9 ; https://scholarworks.sjsu.edu/etd_projects/528

21. Serrour, Belkacem. Détection et analyse de communautés dans les réseaux : Community detection and analysis in networks.

Degree: Docteur es, Informatique, 2010, Université Claude Bernard – Lyon I

L'étude de structures de communautés dans les réseaux devient de plus en plus une question importante. La connaissance des modules de base (communautés) des réseaux… (more)

Subjects/Keywords: Communautés d'intérêt; Détection de communautés; Analyse de communautés; Réseaux sociaux; Services web; Communities of interest; Community detection; Community analysis; Social networks; Web services; 004.65; 004.678; 004.015

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

APA (6th Edition):

Serrour, B. (2010). Détection et analyse de communautés dans les réseaux : Community detection and analysis in networks. (Doctoral Dissertation). Université Claude Bernard – Lyon I. Retrieved from http://www.theses.fr/2010LYO10332

Chicago Manual of Style (16th Edition):

Serrour, Belkacem. “Détection et analyse de communautés dans les réseaux : Community detection and analysis in networks.” 2010. Doctoral Dissertation, Université Claude Bernard – Lyon I. Accessed January 15, 2021. http://www.theses.fr/2010LYO10332.

MLA Handbook (7th Edition):

Serrour, Belkacem. “Détection et analyse de communautés dans les réseaux : Community detection and analysis in networks.” 2010. Web. 15 Jan 2021.

Vancouver:

Serrour B. Détection et analyse de communautés dans les réseaux : Community detection and analysis in networks. [Internet] [Doctoral dissertation]. Université Claude Bernard – Lyon I; 2010. [cited 2021 Jan 15]. Available from: http://www.theses.fr/2010LYO10332.

Council of Science Editors:

Serrour B. Détection et analyse de communautés dans les réseaux : Community detection and analysis in networks. [Doctoral Dissertation]. Université Claude Bernard – Lyon I; 2010. Available from: http://www.theses.fr/2010LYO10332

22. MOHAMMAD AKBARI. WELLNESS PROFILING ON SOCIAL NETWORKS.

Degree: 2016, National University of Singapore

Subjects/Keywords: Wellness; Social Networks; User Profiling; Community Detection; Community Profiling; Latent Space Learning

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APA (6th Edition):

AKBARI, M. (2016). WELLNESS PROFILING ON SOCIAL NETWORKS. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/130533

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):

AKBARI, MOHAMMAD. “WELLNESS PROFILING ON SOCIAL NETWORKS.” 2016. Thesis, National University of Singapore. Accessed January 15, 2021. http://scholarbank.nus.edu.sg/handle/10635/130533.

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

MLA Handbook (7th Edition):

AKBARI, MOHAMMAD. “WELLNESS PROFILING ON SOCIAL NETWORKS.” 2016. Web. 15 Jan 2021.

Vancouver:

AKBARI M. WELLNESS PROFILING ON SOCIAL NETWORKS. [Internet] [Thesis]. National University of Singapore; 2016. [cited 2021 Jan 15]. Available from: http://scholarbank.nus.edu.sg/handle/10635/130533.

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

Council of Science Editors:

AKBARI M. WELLNESS PROFILING ON SOCIAL NETWORKS. [Thesis]. National University of Singapore; 2016. Available from: http://scholarbank.nus.edu.sg/handle/10635/130533

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


Penn State University

23. Liu, Yuxuan. DETECTION AND DYNAMICS OF CYBERBULLYING IN ONLINE SOCIAL NETWORKS.

Degree: 2015, Penn State University

 Cyberbullying, defined as bullying perpetrated through the use of information technology, is a serious problem among children, adolescents and young adults. In this thesis, we… (more)

Subjects/Keywords: Cyberbullying Detection; Dynamics of Cyberbullying; Social Networks

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

APA (6th Edition):

Liu, Y. (2015). DETECTION AND DYNAMICS OF CYBERBULLYING IN ONLINE SOCIAL NETWORKS. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26410

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):

Liu, Yuxuan. “DETECTION AND DYNAMICS OF CYBERBULLYING IN ONLINE SOCIAL NETWORKS.” 2015. Thesis, Penn State University. Accessed January 15, 2021. https://submit-etda.libraries.psu.edu/catalog/26410.

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

MLA Handbook (7th Edition):

Liu, Yuxuan. “DETECTION AND DYNAMICS OF CYBERBULLYING IN ONLINE SOCIAL NETWORKS.” 2015. Web. 15 Jan 2021.

Vancouver:

Liu Y. DETECTION AND DYNAMICS OF CYBERBULLYING IN ONLINE SOCIAL NETWORKS. [Internet] [Thesis]. Penn State University; 2015. [cited 2021 Jan 15]. Available from: https://submit-etda.libraries.psu.edu/catalog/26410.

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

Council of Science Editors:

Liu Y. DETECTION AND DYNAMICS OF CYBERBULLYING IN ONLINE SOCIAL NETWORKS. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26410

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


Georgia Tech

24. Musaev, Aibek. Landslide information service based on composition of physical and social information services.

Degree: PhD, Computer Science, 2016, Georgia Tech

 Modern world data come from an increasing number of sources, including data from physical sources like satellites and seismic sensors as well as social networks(more)

Subjects/Keywords: Social networks; Event detection; Text classification

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APA (6th Edition):

Musaev, A. (2016). Landslide information service based on composition of physical and social information services. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55572

Chicago Manual of Style (16th Edition):

Musaev, Aibek. “Landslide information service based on composition of physical and social information services.” 2016. Doctoral Dissertation, Georgia Tech. Accessed January 15, 2021. http://hdl.handle.net/1853/55572.

MLA Handbook (7th Edition):

Musaev, Aibek. “Landslide information service based on composition of physical and social information services.” 2016. Web. 15 Jan 2021.

Vancouver:

Musaev A. Landslide information service based on composition of physical and social information services. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2021 Jan 15]. Available from: http://hdl.handle.net/1853/55572.

Council of Science Editors:

Musaev A. Landslide information service based on composition of physical and social information services. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55572

25. Dahlin, Johan. Community Detection in Imperfect Networks.

Degree: Physics, 2011, Umeå University

Community detection in networks is an important area of current research with many applications. Finding community structures is a challenging task and despite significant… (more)

Subjects/Keywords: social network analysis; imperfect networks; uncertain edges; community detection; ensemble clustering; social nätverksanalys; ofullständiga nätverk; osäkra kanter; grupperingar; ensembleklustering; Statistical physics; Statistisk fysik

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APA (6th Edition):

Dahlin, J. (2011). Community Detection in Imperfect Networks. (Thesis). Umeå University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-44381

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):

Dahlin, Johan. “Community Detection in Imperfect Networks.” 2011. Thesis, Umeå University. Accessed January 15, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-44381.

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

MLA Handbook (7th Edition):

Dahlin, Johan. “Community Detection in Imperfect Networks.” 2011. Web. 15 Jan 2021.

Vancouver:

Dahlin J. Community Detection in Imperfect Networks. [Internet] [Thesis]. Umeå University; 2011. [cited 2021 Jan 15]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-44381.

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

Council of Science Editors:

Dahlin J. Community Detection in Imperfect Networks. [Thesis]. Umeå University; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-44381

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

26. [No author]. Community Detection in Social Networks.

Degree: 2016, University of Texas – Dallas

Subjects/Keywords: Community Detection; Social Networks; Social influence; Data mining; Software engineering

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

APA (6th Edition):

author], [. (2016). Community Detection in Social Networks. (Thesis). University of Texas – Dallas. Retrieved from http://hdl.handle.net/10735.1/5191

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. “Community Detection in Social Networks.” 2016. Thesis, University of Texas – Dallas. Accessed January 15, 2021. http://hdl.handle.net/10735.1/5191.

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. “Community Detection in Social Networks.” 2016. Web. 15 Jan 2021.

Vancouver:

author] [. Community Detection in Social Networks. [Internet] [Thesis]. University of Texas – Dallas; 2016. [cited 2021 Jan 15]. Available from: http://hdl.handle.net/10735.1/5191.

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

Council of Science Editors:

author] [. Community Detection in Social Networks. [Thesis]. University of Texas – Dallas; 2016. Available from: http://hdl.handle.net/10735.1/5191

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


Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

27. Παπαδόπουλος, Συμεών. Μέθοδοι εξόρυξης γνώσης σε συλλογές περιεχομένου μεγάλης κλίμακας από κοινωνικά δίκτυα.

Degree: 2012, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

The recent technological developments have led to an explosive growth in the availability of online content through social networks. The massive participation of people in… (more)

Subjects/Keywords: Εξόρυξη γνώσης; Ομαδοποίηση περιεχομένου; Ανίχνευση κοινοτήτων; Κοινωνικά δίκτυα; Ημι-επιβλεπόμενη μάθηση; Συστήματα κοινωνικής επισημείωσης; Knowledge extraction; Content clustering; Community detection; Social networks; Semi-supervised learning; Social tagging systems

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APA (6th Edition):

Παπαδόπουλος, . . (2012). Μέθοδοι εξόρυξης γνώσης σε συλλογές περιεχομένου μεγάλης κλίμακας από κοινωνικά δίκτυα. (Thesis). Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Retrieved from http://hdl.handle.net/10442/hedi/26668

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):

Παπαδόπουλος, Συμεών. “Μέθοδοι εξόρυξης γνώσης σε συλλογές περιεχομένου μεγάλης κλίμακας από κοινωνικά δίκτυα.” 2012. Thesis, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Accessed January 15, 2021. http://hdl.handle.net/10442/hedi/26668.

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

MLA Handbook (7th Edition):

Παπαδόπουλος, Συμεών. “Μέθοδοι εξόρυξης γνώσης σε συλλογές περιεχομένου μεγάλης κλίμακας από κοινωνικά δίκτυα.” 2012. Web. 15 Jan 2021.

Vancouver:

Παπαδόπουλος . Μέθοδοι εξόρυξης γνώσης σε συλλογές περιεχομένου μεγάλης κλίμακας από κοινωνικά δίκτυα. [Internet] [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2012. [cited 2021 Jan 15]. Available from: http://hdl.handle.net/10442/hedi/26668.

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

Council of Science Editors:

Παπαδόπουλος . Μέθοδοι εξόρυξης γνώσης σε συλλογές περιεχομένου μεγάλης κλίμακας από κοινωνικά δίκτυα. [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2012. Available from: http://hdl.handle.net/10442/hedi/26668

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


University of California – Berkeley

28. Bhattacharyya, Sharmodeep. A Study of High-dimensional Clustering and Statistical Inference on Networks.

Degree: Statistics, 2013, University of California – Berkeley

 Clustering is an important unsupervised classification technique. In supervised classification, we are provided with a collection of labeled (pre-classified) patterns and the problem is to… (more)

Subjects/Keywords: Statistics; Bootstrap; Clustering; Community detection; Elliptical distributions; High-dimensional inference; Networks

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APA (6th Edition):

Bhattacharyya, S. (2013). A Study of High-dimensional Clustering and Statistical Inference on Networks. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/9sx0k48k

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):

Bhattacharyya, Sharmodeep. “A Study of High-dimensional Clustering and Statistical Inference on Networks.” 2013. Thesis, University of California – Berkeley. Accessed January 15, 2021. http://www.escholarship.org/uc/item/9sx0k48k.

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

MLA Handbook (7th Edition):

Bhattacharyya, Sharmodeep. “A Study of High-dimensional Clustering and Statistical Inference on Networks.” 2013. Web. 15 Jan 2021.

Vancouver:

Bhattacharyya S. A Study of High-dimensional Clustering and Statistical Inference on Networks. [Internet] [Thesis]. University of California – Berkeley; 2013. [cited 2021 Jan 15]. Available from: http://www.escholarship.org/uc/item/9sx0k48k.

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

Council of Science Editors:

Bhattacharyya S. A Study of High-dimensional Clustering and Statistical Inference on Networks. [Thesis]. University of California – Berkeley; 2013. Available from: http://www.escholarship.org/uc/item/9sx0k48k

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


University of Michigan

29. Karrer, Brian C. Topics in Networks: Community Detection, Random Graphs, and Network Epidemiology.

Degree: PhD, Physics, 2012, University of Michigan

 In this dissertation, we present research on several topics in networks including community detection, random graphs, and network epidemiology. Traditional stochastic blockmodels may produce inaccurate… (more)

Subjects/Keywords: Networks; Community Detection; Random Graphs; Network Epidemiology; Physics; Science

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APA (6th Edition):

Karrer, B. C. (2012). Topics in Networks: Community Detection, Random Graphs, and Network Epidemiology. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/91512

Chicago Manual of Style (16th Edition):

Karrer, Brian C. “Topics in Networks: Community Detection, Random Graphs, and Network Epidemiology.” 2012. Doctoral Dissertation, University of Michigan. Accessed January 15, 2021. http://hdl.handle.net/2027.42/91512.

MLA Handbook (7th Edition):

Karrer, Brian C. “Topics in Networks: Community Detection, Random Graphs, and Network Epidemiology.” 2012. Web. 15 Jan 2021.

Vancouver:

Karrer BC. Topics in Networks: Community Detection, Random Graphs, and Network Epidemiology. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2021 Jan 15]. Available from: http://hdl.handle.net/2027.42/91512.

Council of Science Editors:

Karrer BC. Topics in Networks: Community Detection, Random Graphs, and Network Epidemiology. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/91512


Penn State University

30. Sterner, Glenn Earl. An Examination of Community Organizing Processes to Assess the Potential for Increasing Innovation in Practice.

Degree: 2015, Penn State University

 The emphasis of this research is to examine opportunities for rural residents to maximize the potential for innovation within community organizing processes associated with community(more)

Subjects/Keywords: community development; rural sociology; community engagement; community organizing; innovation; social networks

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

APA (6th Edition):

Sterner, G. E. (2015). An Examination of Community Organizing Processes to Assess the Potential for Increasing Innovation in Practice. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26473

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):

Sterner, Glenn Earl. “An Examination of Community Organizing Processes to Assess the Potential for Increasing Innovation in Practice.” 2015. Thesis, Penn State University. Accessed January 15, 2021. https://submit-etda.libraries.psu.edu/catalog/26473.

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

MLA Handbook (7th Edition):

Sterner, Glenn Earl. “An Examination of Community Organizing Processes to Assess the Potential for Increasing Innovation in Practice.” 2015. Web. 15 Jan 2021.

Vancouver:

Sterner GE. An Examination of Community Organizing Processes to Assess the Potential for Increasing Innovation in Practice. [Internet] [Thesis]. Penn State University; 2015. [cited 2021 Jan 15]. Available from: https://submit-etda.libraries.psu.edu/catalog/26473.

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

Council of Science Editors:

Sterner GE. An Examination of Community Organizing Processes to Assess the Potential for Increasing Innovation in Practice. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26473

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

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