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You searched for subject:(Community Detection). Showing records 1 – 30 of 226 total matches.

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1. Ngonmang Kaledje, Christel Blaise. Detection and dynamic of local communities in large social networks : Détection et dynamique des communautés locales dans les grands réseaux sociaux.

Degree: Docteur es, Informatique, 2014, Paris 13

Les réseaux sont présents dans plusieurs contextes et applications : biologie, transports, réseaux sociaux en ligne, etc. De nombreuses applications récentes traitent d'immenses volumes de… (more)

Subjects/Keywords: Détection de communautés; Community detection

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

APA (6th Edition):

Ngonmang Kaledje, C. B. (2014). Detection and dynamic of local communities in large social networks : Détection et dynamique des communautés locales dans les grands réseaux sociaux. (Doctoral Dissertation). Paris 13. Retrieved from http://www.theses.fr/2014PA132057

Chicago Manual of Style (16th Edition):

Ngonmang Kaledje, Christel Blaise. “Detection and dynamic of local communities in large social networks : Détection et dynamique des communautés locales dans les grands réseaux sociaux.” 2014. Doctoral Dissertation, Paris 13. Accessed February 27, 2021. http://www.theses.fr/2014PA132057.

MLA Handbook (7th Edition):

Ngonmang Kaledje, Christel Blaise. “Detection and dynamic of local communities in large social networks : Détection et dynamique des communautés locales dans les grands réseaux sociaux.” 2014. Web. 27 Feb 2021.

Vancouver:

Ngonmang Kaledje CB. Detection and dynamic of local communities in large social networks : Détection et dynamique des communautés locales dans les grands réseaux sociaux. [Internet] [Doctoral dissertation]. Paris 13; 2014. [cited 2021 Feb 27]. Available from: http://www.theses.fr/2014PA132057.

Council of Science Editors:

Ngonmang Kaledje CB. Detection and dynamic of local communities in large social networks : Détection et dynamique des communautés locales dans les grands réseaux sociaux. [Doctoral Dissertation]. Paris 13; 2014. Available from: http://www.theses.fr/2014PA132057


Cornell University

2. 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 February 27, 2021. http://hdl.handle.net/1813/31046.

MLA Handbook (7th Edition):

Andrews, June. “Community Detection In Large Networks.” 2012. Web. 27 Feb 2021.

Vancouver:

Andrews J. Community Detection In Large Networks. [Internet] [Doctoral dissertation]. Cornell University; 2012. [cited 2021 Feb 27]. 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 Illinois – Urbana-Champaign

3. Yuan, Yubai. Approximate likelihood for dependent networks and hyperlink predictions.

Degree: PhD, Statistics, 2020, University of Illinois – Urbana-Champaign

 Network data has arisen as one of the most common forms of information collection. This is due to the fact that the scope of studies… (more)

Subjects/Keywords: Community detection; Hyperlink prediction

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APA (6th Edition):

Yuan, Y. (2020). Approximate likelihood for dependent networks and hyperlink predictions. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/107868

Chicago Manual of Style (16th Edition):

Yuan, Yubai. “Approximate likelihood for dependent networks and hyperlink predictions.” 2020. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 27, 2021. http://hdl.handle.net/2142/107868.

MLA Handbook (7th Edition):

Yuan, Yubai. “Approximate likelihood for dependent networks and hyperlink predictions.” 2020. Web. 27 Feb 2021.

Vancouver:

Yuan Y. Approximate likelihood for dependent networks and hyperlink predictions. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2020. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/2142/107868.

Council of Science Editors:

Yuan Y. Approximate likelihood for dependent networks and hyperlink predictions. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2020. Available from: http://hdl.handle.net/2142/107868


University of Illinois – Urbana-Champaign

4. 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 (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 February 27, 2021. http://hdl.handle.net/2142/72799.

MLA Handbook (7th Edition):

Xu, Jiaming. “Statistical inference in networks: fundamental limits and efficient algorithms.” 2015. Web. 27 Feb 2021.

Vancouver:

Xu J. Statistical inference in networks: fundamental limits and efficient algorithms. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2021 Feb 27]. 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


University of Texas – Austin

5. Zhang, Lingjia. Community detection in network analysis: a survey.

Degree: MSin Statistics, Statistics, 2016, University of Texas – Austin

 The existence of community structures in networks is not unusual, including in the domains of sociology, biology, and business, etc. The characteristic of the community(more)

Subjects/Keywords: Network analysis; Community detection; Clustering

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APA (6th Edition):

Zhang, L. (2016). Community detection in network analysis: a survey. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/41634

Chicago Manual of Style (16th Edition):

Zhang, Lingjia. “Community detection in network analysis: a survey.” 2016. Masters Thesis, University of Texas – Austin. Accessed February 27, 2021. http://hdl.handle.net/2152/41634.

MLA Handbook (7th Edition):

Zhang, Lingjia. “Community detection in network analysis: a survey.” 2016. Web. 27 Feb 2021.

Vancouver:

Zhang L. Community detection in network analysis: a survey. [Internet] [Masters thesis]. University of Texas – Austin; 2016. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/2152/41634.

Council of Science Editors:

Zhang L. Community detection in network analysis: a survey. [Masters Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/41634


Cornell University

6. Kloumann, Isabel. Behaviors, Interactions, And Communities In Networks.

Degree: PhD, Applied Mathematics, 2016, Cornell University

 Exciting and unexpected patterns can emerge when systems are highly connected, even when they are composed of the simplest objects. In this thesis we investigate… (more)

Subjects/Keywords: Community detection; Machine learning; Data mining

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APA (6th Edition):

Kloumann, I. (2016). Behaviors, Interactions, And Communities In Networks. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/44315

Chicago Manual of Style (16th Edition):

Kloumann, Isabel. “Behaviors, Interactions, And Communities In Networks.” 2016. Doctoral Dissertation, Cornell University. Accessed February 27, 2021. http://hdl.handle.net/1813/44315.

MLA Handbook (7th Edition):

Kloumann, Isabel. “Behaviors, Interactions, And Communities In Networks.” 2016. Web. 27 Feb 2021.

Vancouver:

Kloumann I. Behaviors, Interactions, And Communities In Networks. [Internet] [Doctoral dissertation]. Cornell University; 2016. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1813/44315.

Council of Science Editors:

Kloumann I. Behaviors, Interactions, And Communities In Networks. [Doctoral Dissertation]. Cornell University; 2016. Available from: http://hdl.handle.net/1813/44315


Penn State University

7. 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 (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 February 27, 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. 27 Feb 2021.

Vancouver:

Adi M. Using Ants to Find Communities in Complex Networks. [Internet] [Thesis]. Penn State University; 2014. [cited 2021 Feb 27]. 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 Toronto

8. Benoit, David Martin. Assessing the Impacts of Imperfect Detection in Stream Fish Communities through Multispecies Occupancy Modelling.

Degree: 2017, University of Toronto

Regardless of sampling effort, it is rare to detect all individuals or species in a given survey. This issue, more commonly known as imperfect detection,… (more)

Subjects/Keywords: Community; Detection; Modelling; Occupancy; Stream; 0329

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APA (6th Edition):

Benoit, D. M. (2017). Assessing the Impacts of Imperfect Detection in Stream Fish Communities through Multispecies Occupancy Modelling. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/77757

Chicago Manual of Style (16th Edition):

Benoit, David Martin. “Assessing the Impacts of Imperfect Detection in Stream Fish Communities through Multispecies Occupancy Modelling.” 2017. Masters Thesis, University of Toronto. Accessed February 27, 2021. http://hdl.handle.net/1807/77757.

MLA Handbook (7th Edition):

Benoit, David Martin. “Assessing the Impacts of Imperfect Detection in Stream Fish Communities through Multispecies Occupancy Modelling.” 2017. Web. 27 Feb 2021.

Vancouver:

Benoit DM. Assessing the Impacts of Imperfect Detection in Stream Fish Communities through Multispecies Occupancy Modelling. [Internet] [Masters thesis]. University of Toronto; 2017. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1807/77757.

Council of Science Editors:

Benoit DM. Assessing the Impacts of Imperfect Detection in Stream Fish Communities through Multispecies Occupancy Modelling. [Masters Thesis]. University of Toronto; 2017. Available from: http://hdl.handle.net/1807/77757


University of Cambridge

9. Olan, Ioana. Regulatory Landscapes Associated With Changes In Nuclear Architecture.

Degree: PhD, 2019, University of Cambridge

 Gene regulation is essential for establishing a cell’s identity and relation with surrounding cells. A major role in modulating gene regulation is played by the… (more)

Subjects/Keywords: senescence; chromatin; network; gene regulation; community detection

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APA (6th Edition):

Olan, I. (2019). Regulatory Landscapes Associated With Changes In Nuclear Architecture. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/293014https://www.repository.cam.ac.uk/bitstream/1810/293014/4/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/293014/5/7d3f0a25-0019-458d-b173-d4b0d6384685.zip ; https://www.repository.cam.ac.uk/bitstream/1810/293014/6/PhD_onlinesubmission_IO.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/293014/7/PhD_onlinesubmission_IO.pdf.jpg

Chicago Manual of Style (16th Edition):

Olan, Ioana. “Regulatory Landscapes Associated With Changes In Nuclear Architecture.” 2019. Doctoral Dissertation, University of Cambridge. Accessed February 27, 2021. https://www.repository.cam.ac.uk/handle/1810/293014https://www.repository.cam.ac.uk/bitstream/1810/293014/4/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/293014/5/7d3f0a25-0019-458d-b173-d4b0d6384685.zip ; https://www.repository.cam.ac.uk/bitstream/1810/293014/6/PhD_onlinesubmission_IO.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/293014/7/PhD_onlinesubmission_IO.pdf.jpg.

MLA Handbook (7th Edition):

Olan, Ioana. “Regulatory Landscapes Associated With Changes In Nuclear Architecture.” 2019. Web. 27 Feb 2021.

Vancouver:

Olan I. Regulatory Landscapes Associated With Changes In Nuclear Architecture. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2021 Feb 27]. Available from: https://www.repository.cam.ac.uk/handle/1810/293014https://www.repository.cam.ac.uk/bitstream/1810/293014/4/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/293014/5/7d3f0a25-0019-458d-b173-d4b0d6384685.zip ; https://www.repository.cam.ac.uk/bitstream/1810/293014/6/PhD_onlinesubmission_IO.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/293014/7/PhD_onlinesubmission_IO.pdf.jpg.

Council of Science Editors:

Olan I. Regulatory Landscapes Associated With Changes In Nuclear Architecture. [Doctoral Dissertation]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/293014https://www.repository.cam.ac.uk/bitstream/1810/293014/4/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/293014/5/7d3f0a25-0019-458d-b173-d4b0d6384685.zip ; https://www.repository.cam.ac.uk/bitstream/1810/293014/6/PhD_onlinesubmission_IO.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/293014/7/PhD_onlinesubmission_IO.pdf.jpg


Indiana University

10. Gao, Zheng. COMMUNITY DETECTION IN GRAPHS .

Degree: 2020, Indiana University

Community detection has always been one of the fundamental research topics in graph mining. As a type of unsupervised or semi-supervised approach, community detection aims… (more)

Subjects/Keywords: community detection; complex network analysis; graph mining

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APA (6th Edition):

Gao, Z. (2020). COMMUNITY DETECTION IN GRAPHS . (Thesis). Indiana University. Retrieved from http://hdl.handle.net/2022/25623

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):

Gao, Zheng. “COMMUNITY DETECTION IN GRAPHS .” 2020. Thesis, Indiana University. Accessed February 27, 2021. http://hdl.handle.net/2022/25623.

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

MLA Handbook (7th Edition):

Gao, Zheng. “COMMUNITY DETECTION IN GRAPHS .” 2020. Web. 27 Feb 2021.

Vancouver:

Gao Z. COMMUNITY DETECTION IN GRAPHS . [Internet] [Thesis]. Indiana University; 2020. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/2022/25623.

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

Council of Science Editors:

Gao Z. COMMUNITY DETECTION IN GRAPHS . [Thesis]. Indiana University; 2020. Available from: http://hdl.handle.net/2022/25623

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


University of Adelaide

11. 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 (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 February 27, 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. 27 Feb 2021.

Vancouver:

Le BD. Community detection in complex networks. [Internet] [Thesis]. University of Adelaide; 2018. [cited 2021 Feb 27]. 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


Colorado State University

12. Buhnerkempe, Michael G. Using community detection on networks to identify migratory bird flyways in North America.

Degree: MS(M.S.), Statistics, 2012, Colorado State University

 Migratory behavior of waterfowl populations in North America has traditionally been broadly characterized by four north-south flyways, and these flyways have been central to the… (more)

Subjects/Keywords: consolidation factor; waterfowl; network; flyways; community detection

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APA (6th Edition):

Buhnerkempe, M. G. (2012). Using community detection on networks to identify migratory bird flyways in North America. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/71658

Chicago Manual of Style (16th Edition):

Buhnerkempe, Michael G. “Using community detection on networks to identify migratory bird flyways in North America.” 2012. Masters Thesis, Colorado State University. Accessed February 27, 2021. http://hdl.handle.net/10217/71658.

MLA Handbook (7th Edition):

Buhnerkempe, Michael G. “Using community detection on networks to identify migratory bird flyways in North America.” 2012. Web. 27 Feb 2021.

Vancouver:

Buhnerkempe MG. Using community detection on networks to identify migratory bird flyways in North America. [Internet] [Masters thesis]. Colorado State University; 2012. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10217/71658.

Council of Science Editors:

Buhnerkempe MG. Using community detection on networks to identify migratory bird flyways in North America. [Masters Thesis]. Colorado State University; 2012. Available from: http://hdl.handle.net/10217/71658


Delft University of Technology

13. Huang, H. (author). Design, Analysis and Experimental Evaluation of a Distributed Community Detection Algorithm.

Degree: MSComputer Science, 2015, Delft University of Technology

Complex networks are a special type of graph that frequently appears in nature and in many different fields of science and engineering. Studying complex networks… (more)

Subjects/Keywords: complex network; community detection; distributed computing

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APA (6th Edition):

Huang, H. (. (2015). Design, Analysis and Experimental Evaluation of a Distributed Community Detection Algorithm. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:5ef1696a-0ef8-4d4c-a807-3d0fd3247b1d

Chicago Manual of Style (16th Edition):

Huang, H (author). “Design, Analysis and Experimental Evaluation of a Distributed Community Detection Algorithm.” 2015. Masters Thesis, Delft University of Technology. Accessed February 27, 2021. http://resolver.tudelft.nl/uuid:5ef1696a-0ef8-4d4c-a807-3d0fd3247b1d.

MLA Handbook (7th Edition):

Huang, H (author). “Design, Analysis and Experimental Evaluation of a Distributed Community Detection Algorithm.” 2015. Web. 27 Feb 2021.

Vancouver:

Huang H(. Design, Analysis and Experimental Evaluation of a Distributed Community Detection Algorithm. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2021 Feb 27]. Available from: http://resolver.tudelft.nl/uuid:5ef1696a-0ef8-4d4c-a807-3d0fd3247b1d.

Council of Science Editors:

Huang H(. Design, Analysis and Experimental Evaluation of a Distributed Community Detection Algorithm. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:5ef1696a-0ef8-4d4c-a807-3d0fd3247b1d


University of Sydney

14. 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 February 27, 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. 27 Feb 2021.

Vancouver:

Amiri B. Evolutionary Algorithms for Community Detection in Complex Networks . [Internet] [Thesis]. University of Sydney; 2013. [cited 2021 Feb 27]. 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


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 February 27, 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. 27 Feb 2021.

Vancouver:

Senthil R. IDLE: A Novel Approach to Improving Overlapping Community Detection in Complex Networks. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2021 Feb 27]. 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


Australian National University

16. Sun, Xufei. Efficient Community Detection .

Degree: 2015, Australian National University

 Given a large network, local community detection aims at finding the community that contains a set of query nodes and also maximises (minimises) a goodness… (more)

Subjects/Keywords: community detection; large graph; community; local detection; metric; goodness metric; overlapping graphs

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

APA (6th Edition):

Sun, X. (2015). Efficient Community Detection . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/16471

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):

Sun, Xufei. “Efficient Community Detection .” 2015. Thesis, Australian National University. Accessed February 27, 2021. http://hdl.handle.net/1885/16471.

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

MLA Handbook (7th Edition):

Sun, Xufei. “Efficient Community Detection .” 2015. Web. 27 Feb 2021.

Vancouver:

Sun X. Efficient Community Detection . [Internet] [Thesis]. Australian National University; 2015. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1885/16471.

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

Council of Science Editors:

Sun X. Efficient Community Detection . [Thesis]. Australian National University; 2015. Available from: http://hdl.handle.net/1885/16471

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


University of Utah

17. Yadav, Nitin. Community-affinity: measuring strength of memberships of nodes in network communities.

Degree: MSin Computing, School of Computing, 2015, University of Utah

 Detecting community structure in networks has been a widely studied area. While mostof the methods produce an exclusive membership of the nodes, the nodes in… (more)

Subjects/Keywords: community-affinity; community-detection; graph clustering; graphs; network science

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

APA (6th Edition):

Yadav, N. (2015). Community-affinity: measuring strength of memberships of nodes in network communities. (Masters Thesis). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/4069/rec/497

Chicago Manual of Style (16th Edition):

Yadav, Nitin. “Community-affinity: measuring strength of memberships of nodes in network communities.” 2015. Masters Thesis, University of Utah. Accessed February 27, 2021. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/4069/rec/497.

MLA Handbook (7th Edition):

Yadav, Nitin. “Community-affinity: measuring strength of memberships of nodes in network communities.” 2015. Web. 27 Feb 2021.

Vancouver:

Yadav N. Community-affinity: measuring strength of memberships of nodes in network communities. [Internet] [Masters thesis]. University of Utah; 2015. [cited 2021 Feb 27]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/4069/rec/497.

Council of Science Editors:

Yadav N. Community-affinity: measuring strength of memberships of nodes in network communities. [Masters Thesis]. University of Utah; 2015. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/4069/rec/497


Purdue University

18. Shanbhaq, Sunanda Vivek. A faster version of Louvain method for community detection for efficient modeling and analytics of cyber systems.

Degree: MS, Computer and Information Technology, 2016, Purdue University

  Cyber networks are complex networks with various hosts forming the entities of the network and the communication between them forming the edges of the… (more)

Subjects/Keywords: Applied sciences; Community; Community detection; Modularity; Computer Engineering; Computer Sciences

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

APA (6th Edition):

Shanbhaq, S. V. (2016). A faster version of Louvain method for community detection for efficient modeling and analytics of cyber systems. (Thesis). Purdue University. Retrieved from http://docs.lib.purdue.edu/open_access_theses/814

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):

Shanbhaq, Sunanda Vivek. “A faster version of Louvain method for community detection for efficient modeling and analytics of cyber systems.” 2016. Thesis, Purdue University. Accessed February 27, 2021. http://docs.lib.purdue.edu/open_access_theses/814.

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

MLA Handbook (7th Edition):

Shanbhaq, Sunanda Vivek. “A faster version of Louvain method for community detection for efficient modeling and analytics of cyber systems.” 2016. Web. 27 Feb 2021.

Vancouver:

Shanbhaq SV. A faster version of Louvain method for community detection for efficient modeling and analytics of cyber systems. [Internet] [Thesis]. Purdue University; 2016. [cited 2021 Feb 27]. Available from: http://docs.lib.purdue.edu/open_access_theses/814.

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

Council of Science Editors:

Shanbhaq SV. A faster version of Louvain method for community detection for efficient modeling and analytics of cyber systems. [Thesis]. Purdue University; 2016. Available from: http://docs.lib.purdue.edu/open_access_theses/814

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


Carnegie Mellon University

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

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 February 27, 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. 27 Feb 2021.

Vancouver:

Benigni MC. Detection and Analysis of Online Extremist Communities. [Internet] [Thesis]. Carnegie Mellon University; 2017. [cited 2021 Feb 27]. 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


University of Illinois – Urbana-Champaign

20. Gupta, Manish. Outlier detection for information networks.

Degree: PhD, 0112, 2013, University of Illinois – Urbana-Champaign

 The study of networks has emerged in diverse disciplines as a means of analyzing complex relationship data. There has been a significant amount of work… (more)

Subjects/Keywords: outlier detection; Community Distribution Outliers (CDOutliers); Evolutionary Community Outliers (ECOutliers); toread; data mining; outlier detection for graphs; outlier detection for networks; graph query processing; community detection; community outliers; anomalies; anomaly detection; evolution in networks

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

APA (6th Edition):

Gupta, M. (2013). Outlier detection for information networks. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/44770

Chicago Manual of Style (16th Edition):

Gupta, Manish. “Outlier detection for information networks.” 2013. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 27, 2021. http://hdl.handle.net/2142/44770.

MLA Handbook (7th Edition):

Gupta, Manish. “Outlier detection for information networks.” 2013. Web. 27 Feb 2021.

Vancouver:

Gupta M. Outlier detection for information networks. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2013. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/2142/44770.

Council of Science Editors:

Gupta M. Outlier detection for information networks. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/44770


Australian National University

21. 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 February 27, 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. 27 Feb 2021.

Vancouver:

Rezvani M. Community Structure in Large-Scale Complex Networks . [Internet] [Thesis]. Australian National University; 2019. [cited 2021 Feb 27]. 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

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

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 February 27, 2021. https://era.library.ualberta.ca/files/cxk81jk64k.

MLA Handbook (7th Edition):

Rabbany khorasgani, Reihaneh. “Modular Structure of Complex Networks.” 2016. Web. 27 Feb 2021.

Vancouver:

Rabbany khorasgani R. Modular Structure of Complex Networks. [Internet] [Doctoral dissertation]. University of Alberta; 2016. [cited 2021 Feb 27]. 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


Purdue University

23. Bang, Seokhun. Community Detection Using Efficient Modularity Optimization Method: LabelMod with Single and Multi-Layer Graphs.

Degree: MSIE, Industrial Engineering, 2015, Purdue University

 Graph clustering is a field of study that helps reveal characteristics of communities. Systems can be viewed as networks and form communities in various areas… (more)

Subjects/Keywords: Clustering algorithm; Community detection; Community structure; Label Propagation Method; LabelRank; Markov Cluster Algorithm

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

APA (6th Edition):

Bang, S. (2015). Community Detection Using Efficient Modularity Optimization Method: LabelMod with Single and Multi-Layer Graphs. (Thesis). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_theses/1046

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):

Bang, Seokhun. “Community Detection Using Efficient Modularity Optimization Method: LabelMod with Single and Multi-Layer Graphs.” 2015. Thesis, Purdue University. Accessed February 27, 2021. https://docs.lib.purdue.edu/open_access_theses/1046.

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

MLA Handbook (7th Edition):

Bang, Seokhun. “Community Detection Using Efficient Modularity Optimization Method: LabelMod with Single and Multi-Layer Graphs.” 2015. Web. 27 Feb 2021.

Vancouver:

Bang S. Community Detection Using Efficient Modularity Optimization Method: LabelMod with Single and Multi-Layer Graphs. [Internet] [Thesis]. Purdue University; 2015. [cited 2021 Feb 27]. Available from: https://docs.lib.purdue.edu/open_access_theses/1046.

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

Council of Science Editors:

Bang S. Community Detection Using Efficient Modularity Optimization Method: LabelMod with Single and Multi-Layer Graphs. [Thesis]. Purdue University; 2015. Available from: https://docs.lib.purdue.edu/open_access_theses/1046

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


Purdue University

24. Bang, Seokhun. Community Detection Using Efficient Modularity Optimization Method: LabelMod with Single and Multi-Layer Graphs.

Degree: MSIE, Industrial Engineering, 2015, Purdue University

  Graph clustering is a field of study that helps reveal characteristics of communities. Systems can be viewed as networks and form communities in various… (more)

Subjects/Keywords: Clustering algorithm; Community detection; Community structure; Label Propagation Method; LabelRank; Markov Cluster Algorithm

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

APA (6th Edition):

Bang, S. (2015). Community Detection Using Efficient Modularity Optimization Method: LabelMod with Single and Multi-Layer Graphs. (Thesis). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_theses/1037

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):

Bang, Seokhun. “Community Detection Using Efficient Modularity Optimization Method: LabelMod with Single and Multi-Layer Graphs.” 2015. Thesis, Purdue University. Accessed February 27, 2021. https://docs.lib.purdue.edu/open_access_theses/1037.

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

MLA Handbook (7th Edition):

Bang, Seokhun. “Community Detection Using Efficient Modularity Optimization Method: LabelMod with Single and Multi-Layer Graphs.” 2015. Web. 27 Feb 2021.

Vancouver:

Bang S. Community Detection Using Efficient Modularity Optimization Method: LabelMod with Single and Multi-Layer Graphs. [Internet] [Thesis]. Purdue University; 2015. [cited 2021 Feb 27]. Available from: https://docs.lib.purdue.edu/open_access_theses/1037.

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

Council of Science Editors:

Bang S. Community Detection Using Efficient Modularity Optimization Method: LabelMod with Single and Multi-Layer Graphs. [Thesis]. Purdue University; 2015. Available from: https://docs.lib.purdue.edu/open_access_theses/1037

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


Delft University of Technology

25. Jiang, Xuehan (author). A community-evolution based approach for detecting the echo chamber effect in recommender systems.

Degree: 2018, Delft University of Technology

Information systems, such as information retrieval machines and recommendation systems, utilize various user information and history behaviors to provide personalized content to users. However, a… (more)

Subjects/Keywords: Recommender Systems; Echo Chamber Effect; Temporal Community Detection; Community Evolution; User Segregation

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

APA (6th Edition):

Jiang, X. (. (2018). A community-evolution based approach for detecting the echo chamber effect in recommender systems. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ee83befe-cabf-46a8-af82-7f528c895a52

Chicago Manual of Style (16th Edition):

Jiang, Xuehan (author). “A community-evolution based approach for detecting the echo chamber effect in recommender systems.” 2018. Masters Thesis, Delft University of Technology. Accessed February 27, 2021. http://resolver.tudelft.nl/uuid:ee83befe-cabf-46a8-af82-7f528c895a52.

MLA Handbook (7th Edition):

Jiang, Xuehan (author). “A community-evolution based approach for detecting the echo chamber effect in recommender systems.” 2018. Web. 27 Feb 2021.

Vancouver:

Jiang X(. A community-evolution based approach for detecting the echo chamber effect in recommender systems. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Feb 27]. Available from: http://resolver.tudelft.nl/uuid:ee83befe-cabf-46a8-af82-7f528c895a52.

Council of Science Editors:

Jiang X(. A community-evolution based approach for detecting the echo chamber effect in recommender systems. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:ee83befe-cabf-46a8-af82-7f528c895a52


UCLA

26. Razaee, Zahra. Community Detection in Networks with Node Covariates.

Degree: Statistics, 2017, UCLA

Community detection or clustering is a fundamental task in the analysis of network data. Most networks come with annotations which can be in form of… (more)

Subjects/Keywords: Statistics; Bipartite; Community Detection; Network; Node Covariates; Stochastic Blockmodel

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

APA (6th Edition):

Razaee, Z. (2017). Community Detection in Networks with Node Covariates. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/3343v33s

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):

Razaee, Zahra. “Community Detection in Networks with Node Covariates.” 2017. Thesis, UCLA. Accessed February 27, 2021. http://www.escholarship.org/uc/item/3343v33s.

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

MLA Handbook (7th Edition):

Razaee, Zahra. “Community Detection in Networks with Node Covariates.” 2017. Web. 27 Feb 2021.

Vancouver:

Razaee Z. Community Detection in Networks with Node Covariates. [Internet] [Thesis]. UCLA; 2017. [cited 2021 Feb 27]. Available from: http://www.escholarship.org/uc/item/3343v33s.

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

Council of Science Editors:

Razaee Z. Community Detection in Networks with Node Covariates. [Thesis]. UCLA; 2017. Available from: http://www.escholarship.org/uc/item/3343v33s

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


University of California – Berkeley

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

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 February 27, 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. 27 Feb 2021.

Vancouver:

Bhattacharyya S. A Study of High-dimensional Clustering and Statistical Inference on Networks. [Internet] [Thesis]. University of California – Berkeley; 2013. [cited 2021 Feb 27]. 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


San Jose State University

28. Murali, Mrudula. Online Local Communities.

Degree: MS, Computer Science, 2019, San Jose State University

  A community in a network is a group of nodes that are densely and closely connected to each other, get sparsely connected to the… (more)

Subjects/Keywords: Community detection; Local graph clustering; Online com- munity; Theory and Algorithms

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APA (6th Edition):

Murali, M. (2019). Online Local Communities. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.4cu5-yv9s ; https://scholarworks.sjsu.edu/etd_projects/723

Chicago Manual of Style (16th Edition):

Murali, Mrudula. “Online Local Communities.” 2019. Masters Thesis, San Jose State University. Accessed February 27, 2021. https://doi.org/10.31979/etd.4cu5-yv9s ; https://scholarworks.sjsu.edu/etd_projects/723.

MLA Handbook (7th Edition):

Murali, Mrudula. “Online Local Communities.” 2019. Web. 27 Feb 2021.

Vancouver:

Murali M. Online Local Communities. [Internet] [Masters thesis]. San Jose State University; 2019. [cited 2021 Feb 27]. Available from: https://doi.org/10.31979/etd.4cu5-yv9s ; https://scholarworks.sjsu.edu/etd_projects/723.

Council of Science Editors:

Murali M. Online Local Communities. [Masters Thesis]. San Jose State University; 2019. Available from: https://doi.org/10.31979/etd.4cu5-yv9s ; https://scholarworks.sjsu.edu/etd_projects/723


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 February 27, 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. 27 Feb 2021.

Vancouver:

Karrer BC. Topics in Networks: Community Detection, Random Graphs, and Network Epidemiology. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2021 Feb 27]. 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. 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 February 27, 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. 27 Feb 2021.

Vancouver:

Ghurye AD. DETECTION AND EVALUATION OF COMMUNITY STRUCTURES IN SOCIAL NETWORKS . [Internet] [Thesis]. Penn State University; 2011. [cited 2021 Feb 27]. 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

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