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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
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

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2010 june - personal democracy forum - marc smith - mapping political social media crowds

  • 1. A project from the Social Media Research Foundation: http://www.smrfoundation.org
  • 4.
  • 5. 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
  • 7. Network of connections among “ecomm” mentioning Twitter users ecomm Position, Position, Position
  • 8. 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
  • 9. 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
  • 10. 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)
  • 11. Centralities http://en.wikipedia.org/wiki/Centrality • Degree • Closeness • Betweenness • Eigenvector
  • 12. 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
  • 13. 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.
  • 14. 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.
  • 16. NodeXL: Network Overview, Discovery and Exploration for Excel Leverage spreadsheet for storage of edge and vertex data http://www.codeplex.com/nodexl
  • 17. Social Media Research Foundation http://smrfoundation.org
  • 18. Social Media Research Foundation Open Tools Open Data Open Scholarship
  • 19. 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
  • 22. Import from multiple social media network sources
  • 23. 2010 - May - 25 - NodeXL - Twitter - PDF2010
  • 24. 2010 – June 3 - NodeXL - Twitter - PDF2010
  • 25. 2010 - May - 21 - NodeXL - twitter tcot
  • 26. 2010 - April - 21 - NodeXL - Twitter - teaparty followers scaled
  • 27. 2010 - May - 7 - NodeXL - twitter global warming
  • 28. 2010 - May - 7 - NodeXL - twitter climate change
  • 30. 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
  • 31. 2010 - May - 3 - NodeXL - twitter oil spill 2
  • 32. 2010 - May - 4 - NodeXL - twitter oil spill
  • 33. 2010 - May - 4 - NodeXL - twitter bp
  • 34. 2010 - May - 5 - NodeXL - twitter opengov
  • 35. 2010 - May - 5 - NodeXL - twitter solar
  • 36. 2010 - 05 - 18 - NodeXL Twitter Wellness
  • 37. 2010 - May - 28 - NodeXL - Twitter - NSF
  • 38. 2010 - May - 28 - NodeXL - Twitter - Smithsonian
  • 39. 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
  • 40. Tuesday 18 May 4:00pm Joe Sestak Arlen Specter Following: 3845 Following: 348 Followers: 3631 Followers: 8704 Tweets: 763 Tweets: 580
  • 41. Tuesday 18 May 4:00pm Joe Sestak Arlen Specter Following: 3845 Following: 348 Followers: 3631 Followers: 8704 Tweets: 763 Tweets: 580
  • 42. 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
  • 43. Social Media Research Foundation http://smrfoundation.org