SNA 101 • Node A 2010 june - personal democracy forum - marc smith - mapping political social media crowds

A project from the Social Media Research Foundation: http://www.smrfoundation.org

http://www.flickr.com/photos/library_of_congress/3295494976/sizes/o/in/photostream/

http://www.flickr.com/photos/amycgx/3119640267/

About Me Introductions Marc A. Smith Chief Social Scientist Connected Action Consulting Group Marc@connectedaction.net http://www.connectedaction.net http://www.codeplex.com/nodexl http://www.twitter.com/marc_smith http://delicious.com/marc_smith/Paper http://www.flickr.com/photos/marc_smith http://www.facebook.com/marc.smith.sociologist http://www.linkedin.com/in/marcasmith http://www.slideshare.net/Marc_A_Smith

Location, Location, Location

Network of connections among “ecomm” mentioning Twitter users ecomm Position, Position, Position

Social Networks • History: from the dawn of time! • Theory and method: 1934 -> • Jacob L. Moreno • http://en.wiki pedia.org/wiki /Jacob_L._Mor eno

SNA 101 • Node A – “actor” on which relationships act; 1-mode versus 2-mode networks • Edge B – Relationship connecting nodes; can be directional C • Cohesive Sub-Group – Well-connected group; clique; cluster A B D E • Key Metrics – Centrality (group or individual measure) D • Number of direct connections that individuals have with others in the group (usually look at incoming connections only) E • Measure at the individual node or group level – Cohesion (group measure) • Ease with which a network can connect • Aggregate measure of shortest path between each node pair at network level reflects average distance – Density (group measure) • Robustness of the network • Number of connections that exist in the group out of 100% possible – Betweenness (individual measure) F G • # shortest paths between each node pair that a node is on • Measure at the individual node level • Node roles – Peripheral – below average centrality C H – Central connector – above average centrality D I – Broker – above average betweenness E

Social Network Theory http://en.wikipedia.org/wiki/Social_network • Central tenet – Social structure emerges from – the aggregate of relationships (ties) – among members of a population • Phenomena of interest – Emergence of cliques and clusters – from patterns of relationships – Centrality (core), periphery (isolates), Source: Richards, W. – betweenness (1986). The NEGOPY • Methods network analysis program. Burnaby, BC: – Surveys, interviews, observations, Department of Communication, Simon log file analysis, computational Fraser University. pp.7- analysis of matrices 16 (Hampton &Wellman, 1999; Paolillo, 2001; Wellman, 2001)

Centralities http://en.wikipedia.org/wiki/Centrality • Degree • Closeness • Betweenness • Eigenvector

Welser, Howard T., Eric Gleave, Danyel Fisher, and Marc Smith. 2007. Visualizing the Signatures of Social Roles in Online Discussion Groups. The Journal of Social Structure. 8(2). [Local copy] Experts and “Answer People” Discussion people, Topic setters Discussion starters, Topic setters

Friends, foes, and fringe: norms and structure in political discussion networks. Proceedings of the 2006 International Conference on Digital Government Research. John Kelly, Danyel Fisher, and Marc Smith.

Himelboim, Itai, Eric Gleave, and Marc Smith. 2009. Discussion catalysts in online political discussions: Content importers and conversation starters. The Journal of Computer-Mediated Communication, Vol. 14.

Introduction to NodeXL

NodeXL: Network Overview, Discovery and Exploration for Excel Leverage spreadsheet for storage of edge and vertex data http://www.codeplex.com/nodexl

Social Media Research Foundation http://smrfoundation.org

Social Media Research Foundation Open Tools Open Data Open Scholarship

NodeXL Network Overview Discovery and Exploration add-in for Excel 2007 A minimal network can illustrate the ways different locations have different values for centrality and degree

Forthcoming, Summer 2010

Communities in Cyberspace

Import from multiple social media network sources

2010 - May - 25 - NodeXL - Twitter - PDF2010

2010 – June 3 - NodeXL - Twitter - PDF2010

2010 - May - 21 - NodeXL - twitter tcot

2010 - April - 21 - NodeXL - Twitter - teaparty followers scaled

2010 - May - 7 - NodeXL - twitter global warming

2010 - May - 7 - NodeXL - twitter climate change

http://www.youtube.com/watch?v=0M3T65Iw3Ac NodeXL Video

NodeXL Free/Open Social Network Analysis add-in for Excel 2007 makes graph theory as easy as a bar chart, integrated analysis of social media sources. http://nodexl.codeplex.com

2010 - May - 3 - NodeXL - twitter oil spill 2

2010 - May - 4 - NodeXL - twitter oil spill

2010 - May - 4 - NodeXL - twitter bp

2010 - May - 5 - NodeXL - twitter opengov

2010 - May - 5 - NodeXL - twitter solar

2010 - 05 - 18 - NodeXL Twitter Wellness

2010 - May - 28 - NodeXL - Twitter - NSF

2010 - May - 28 - NodeXL - Twitter - Smithsonian

Scott Golder (@redlog) is a graduate student in Sociology at Cornell University. He was previously a researcher at HP Labs, and holds an A.B. in Linguistics with Computer Science from Harvard University and an M.S. in Media Arts and Sciences from the MIT Media Laboratory. His research interests broadly include network and social identity effects online, which he has examined in a variety of environments including usenet, online poker, social bookmarking and social network services. His website is www.redlog.net. Vladimir Barash (@vlad43210) is a graduate student in Information Science at Cornell University. He holds a BA in Cognitive Science from Yale University. His research interests include social media, online communities and diffusion, and his thesis topic is on the structural properties of diffusion in social networks. His websited is www.vlad43210.com

Tuesday 18 May 4:00pm Joe Sestak Arlen Specter Following: 3845 Following: 348 Followers: 3631 Followers: 8704 Tweets: 763 Tweets: 580

About Me Introductions Marc A. Smith Chief Social Scientist Connected Action Consulting Group Marc@connectedaction.net http://www.connectedaction.net http://www.codeplex.com/nodexl http://www.twitter.com/marc_smith http://delicious.com/marc_smith/Paper http://www.flickr.com/photos/marc_smith http://www.facebook.com/marc.smith.sociologist http://www.linkedin.com/in/marcasmith http://www.slideshare.net/Marc_A_Smith

Social Media Research Foundation http://smrfoundation.org