{"id":94331,"date":"2014-02-20T11:40:33","date_gmt":"2014-02-20T16:40:33","guid":{"rendered":"https:\/\/beta.pewresearch.org\/pewresearch-org\/2014\/02\/20\/appendix-how-to-analyze-social-media-networks\/"},"modified":"2024-04-14T04:17:29","modified_gmt":"2024-04-14T09:17:29","slug":"appendix-how-to-analyze-social-media-networks","status":"publish","type":"post","link":"https:\/\/beta.pewresearch.org\/pewresearch-org\/internet\/2014\/02\/20\/appendix-how-to-analyze-social-media-networks\/","title":{"rendered":"Appendix: How to analyze social media networks"},"content":{"rendered":"

See related document at:\u00a0<\/i>https:\/\/assets.pewresearch.org\/wp-content\/uploads\/sites\/14\/2014\/02\/How-we-analyzed-Twitter-social-media-networks.pdf<\/a><\/p>\n\n

Resources and references<\/h3>\n\n

Adamic, Lada A, and Natalie Glance. “The political blogosphere and the 2004 US election: divided they blog.” Proceedings of the 3rd international workshop on Link discovery 21 Aug. 2005: 36-43.<\/p>\n\n

Early work documenting polarization in social media through an analysis of networks of blog connections.<\/p>\n\n

Andrei Broder, Ravi Kumar, Farzin Maghoul, Prabhakar Raghavan, Sridhar Rajagopalan, Raymie Stata,\u00a0Andrew Tomkins, Janet Wiener, Graph structure in the web,\u00a0 Computer Networks 33, 1 (2000), 309-320<\/p>\n\n

An influential paper showing a \u201cbow-tie\u201d structure to the World Wide Web.<\/p>\n\n

Cailloux, O., Lamboray, C., and Nemery, P. A taxonomy of clustering procedures, Proc. 66th Meeting of the EURO Working Group on Multiple-Criteria Decision Aiding, Marrakesh, Morocco, 2007. Available at www.lgi.ecp.fr\/Biblio\/PDF\/cailloux_taxonomy_2007.pdf<\/a><\/p>\n\n

This paper describes multi-criteria clustering procedures and offers a taxonomy to guide further research.<\/p>\n\n

Easley, D. and Kleinberg, J. Networks, Crowds, and Markets: Reasoning About a Highly Connected World, Cambridge University Press, NY, 2010.<\/p>\n\n

Thorough and lucid textbook on network analysis and applications. Great starting point, yet filled with deep insights for all readers.<\/p>\n\n

Fuehres, H., Fischbach, K., Gloor, P. A., Krauss, J., and Nann, S., Adding taxonomies obtained by content clustering to semantic social network analysis, On Collective Intelligence, Advances in Intelligent and Soft Computing, 76, 2010. Available at: http:\/\/www.ickn.org\/documents\/Collin_Fuehres_Gloor.pdf<\/a><\/p>\n\n

This paper includes textual content analysis of terms used in social networks to form clusters in communities.<\/p>\n\n

Gleave, Eric, Howard Welser, Thomas Lento, and Marc Smith. 2009. \u201cA Conceptual and Operational Definition of \u201cSocial Role\u201d in Online Community.\u201d The 42nd Hawaii International Conference of System Sciences.<\/p>\n\n

This paper applies the idea of social roles to the distinctive network patterns that form around each individual.<\/p>\n\n

Hansen, D., Shneiderman, B., and Smith, M.A.,\u00a0Analyzing Social Media Networks with NodeXL: Insights from a Connected World, Morgan Kaufmann Publishers, San Francisco, CA, 2011.<\/p>\n\n

An introduction to social network analysis followed by a guide to NodeXL, with extensive application examples for mapping Twitter, Facebook, YouTube, flickr, Wikis, blogs, email and more.<\/p>\n\n

Hansen, D.; M.A. Smith, and B. Shneiderman. 2011. \u201cEventGraphs: Charting Collections of Conference Connections.\u201d 44th Hawaii International Conference on System Sciences (HICSS).<\/p>\n\n

This paper social media network analysis to map and understand the shape of conference hashtags in Twitter.<\/p>\n\n

Himelboim, Itai, McCreery, Stephen, Smith, Marc, 2013. Birds of a Feather Tweet Together: Integrating Network and Content Analyses to Examine Cross-Ideology Exposure on Twitter, Journal Computer-Mediated Communication 18(2), 40-60. DOI: 10.1111\/jcc4.12001<\/p>\n\n

This paper documents the ways political discussions form homogenous clusters of like-minded people.<\/p>\n\n

Himelboim, I.; Gleave, E.; Smith, M.; , Discussion catalysts in online political discussions: Content importers and conversation starters, Journal of Computer Mediated Communication, 14, 4, 771-789, 2009, Wiley Online Library.<\/p>\n\n

This paper documents the ways political discussions are led by a small number of influential participants.<\/p>\n\n

Nishikawa<\/a>, T. and\u00a0Motter, A. E.<\/a>, Discovering network structure beyond communities, Nature Scientific Reports 1, Article number: 151, 2011. Available at: doi:10.1038\/srep00151<\/p>\n\n

This paper takes a fresh approach to finding substructures inside communities, identifying groups with meaningful properties through interactive visual analytics strategies. It also has a thorough review of previous work.<\/p>\n\n

NodeXL: Network Overview, Discovery and Exploration for Excel: http:\/\/nodexl.codeplex.com<\/a><\/p>\n\n

The distribution and support site for NodeXL.<\/p>\n\n

NodeXL Graph Gallery: http:\/\/nodexlgraphgallery.org<\/a><\/p>\n\n

The archive of shared NodeXL network data sets and visualizations.<\/p>\n\n

Radicchi, F.,\u00a0Castellano, C.,\u00a0Cecconi, F.,\u00a0Loreto, V.\u00a0&\u00a0Parisi, D.\u00a0Defining and identifying communities in networks.\u00a0Proc. National Academy Sciences\u00a0101, 2004,\u00a02658\u20132663.<\/p>\n\n

Offers a strategy for finding community structures in large networks. Their algorithm is fast and scalable.<\/p>\n\n

Rodrigues, Eduarda Mendes, Natasa Milic-Frayling, Marc Smith, Ben Shneiderman, Derek Hansen,\u00a0Group-in-a-box Layout for Multi-faceted Analysis of Communities<\/a>. IEEE Third International Conference on Social Computing, October 9-11, 2011. Boston, MA<\/p>\n\n

A paper outlining the utility of Group-in-a-box display for social network analysis.<\/p>\n\n

Smith, Marc, Derek Hansen, and Eric Gleave. 2009. \u201cAnalyzing Enterprise Social Media Networks.\u201d In SCA09: Proc. International Symposium on Social Computing Applications. IEEE Computer Society Press.<\/p>\n\n

This paper applies social network analysis to the social media connections created within large organizations.<\/p>\n\n

Smith, M., B. Shneiderman, N. Milic-Frayling, E.M. Rodrigues, V. Barash, C. Dunne, T. Capone, A. Perer, and E. Gleave. 2009. “Analyzing (Social Media) Networks with NodeXL.” Pp 255-264 in C&T ’09: Proc. Fourth International Conference on Communities and Technologies. New York, NY: ACM.<\/p>\n\n

A guide to NodeXL.<\/p>\n\n

Welser, H.T., D. Cosley, G. Kossinets, A. Lin, F. Dokshin, G. Gay, and M. Smith. 2011. \u201cFinding Social Roles in Wikipedia.\u201d Pp 122-129 in Proceedings of the 2011 iConference. ACM.<\/p>\n\n

This paper documents the distinctive patterns of connection created when people perform different roles in Wikipedia.<\/p>\n\n

Welser, Howard T., Eric Gleave, Danyel Fisher, and Marc Smith. 2007. \u201cVisualizing the Signatures of Social Roles in Online Discussion Groups.\u201d The Journal of Social Structure. 8(2).<\/p>\n\n

\u00a0Illustrates different patterns of network structures associated with different kinds of roles and behaviors.<\/p>","protected":false},"excerpt":{"rendered":"

See related document at:\u00a0https:\/\/assets.pewresearch.org\/wp-content\/uploads\/sites\/14\/2014\/02\/How-we-analyzed-Twitter-social-media-networks.pdf Resources and references Adamic, Lada A, and Natalie Glance. “The political blogosphere and the 2004 US election: divided they blog.” Proceedings of the 3rd international workshop on Link discovery 21 Aug. 2005: 36-43. Early work documenting polarization in social media through an analysis of networks of blog connections. Andrei Broder, Ravi 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