An overview of the Network Overview Discovery and Exploration add-in for Excel 2007 (NodeXL), a social network analysis add-in for the familiar spreadsheet application. Visualize twitter, flickr, facebook, and email networks with just a few mouse clicks.

1. Network Overview, Discovery and Exploration for Excel 2007 Social Media Network Analysis with NodeXL 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

2. Dr. Marc A. Smith Ph.D. in Sociology, UCLA, 2002 Chief Social Scientist, Connected Action Consulting Group,Silicon Valley, CA http://www.connectedaction.net marc@connectedaction.net Research on the social network structure of social media, online community, collaboration. Currently working on: NodeXL: Social Network Analysishttp://www.codeplex.com/nodexl Mapping link structure of social media Reporting tools for community and brands Discovering social roles in social media, building an ecological model of computer-mediated collective action

3. Problem: No network chart in Excel

4. Problem: No network chart in Excel

8. Network analysis is of growing importance in academic, commercial, and Internet social media contexts

9. Existing network analysis tools have command line interfaces or demand steep learning curves

11. Social Network Analysis ToolkitTools to support the study of the social network structure of social media and other directed graph structures Sociologist “What are the structures of communication in scientific discussions?” User Experience Information Visualization “What are the best UI/UX workflows for network analysis tools?” Computer Scientist Algorithmicist for Social Network Measures “What are the measures and algorithms needed for understanding networks?”

12. 10

13. The Ties that Blind? 11

14. Reply-To Network Network at distance 2 for the most prolific author of the microsoft.public.internetexplorer.general newsgroup The Ties that Blind?

15. Darwin Bell 13

16. The Ties that Blind? Pajek without modification can sometimes reveal structures of great interest.

17. Mapping Newsgroup Social Ties Microsoft.public.windowsxp.server.general Two “answer people” with an emerging 3rd. 15

18. 16

20. Outward ties to local isolates

21. Relative absence of triangles

22. Few intense ties

23. Reply Magnet

24. Ties from local isolates often inward only

25. Sparse, few triangles

26. Few intense tiesDistinguishing attributes: 17

28. Outward ties to local isolates

29. Relative absence of triangles

30. Few intense ties

31. Discussion person

32. Ties from local isolates often inward only

33. Dense, many triangles

34. Numerous intense ties18

35. Clear and consistent signaturesof an “Answer Person” Light touch to numerous threads initiated by someone else Most ties are outward to local isolates Many more ties to small fish than big fish 19

36. Roles Project Using Netscan data to derive social roles in Usenet Next steps: quantify & explore in more depth Answer Person, microsoft.public.windows.server.general Discussion, rec.kites Flame, alt.flame Social Support, alt.support.divorce PUBLISHED in HICSS, JCMC, JoSS, IEEE Internet Communications (special issue on Social Networks) 20

39. Relationships among #OCS09 mentioning Twitter users

40. Relationships among “NodeXL” Mentioning Twitter users

43. NodeXL Imports User and Keyword Networks from Twitter

46. Established Virtual Observatory for the Study of Online Networks (VOSON) project in 2005 - http://voson.anu.edu.au

47. Teaches two masters courses: Social Science of the Internet” and Online Research Methods”

48. Fellow and Masters Coordinator in Australian Demographic and Social Research Institute, at the Australian National University

52. Growing NodeXL user community: nearing 18,000 downloads

53. Network of relationships among “Honda” mentioning Twitter users

54. Network of relationships among “Opendata” mentioning Twitter users

55. Network of relationships among “SharePoint” mentioning Twitter users

56. NodeXL Calculates a number of Network Metrics and “subgraphs”

57. Sub graph images of each “ego-network”

58. Network of relationships among “Intuit” mentioning Twitter users

61. NodeXL supports a number of graph layouts Fruchterman-Reingold Harel-Koren

62. Harel-Koren layout of Marc Smith FacebookEgonetwork

63. Fruchterman-Reingold layout of Marc Smith FacebookEgonetwork

64. FR layout of the relationships among #WIN09 Mentioning Twitter users

65. US Senate votingrelationships

66. Changed party in 2009 US Senate votingrelationships

67. Systematic Yet Flexible Network Analysis Tasks Overall network metrics (e.g. number of nodes, number of edges, density, diameter) Node rankings (e.g. degree, betweenness, closeness centrality) Edge rankings (e.g. weight, betweenness centrality) Node rankings in pairs (e.g. degree vs. betweenness, plotted on a scatter gram) Edge rankings in pairs Cohesive subgroups (e.g. finding communities in networks) Multiplexity (e.g. analyzing comparisons between different edge types, such as friends vs. enemies) Shneiderman, Perer, Dunne

68. Whole Graph / All Time Sub Graph / All Time Filtering Network Diagrams Micro ---- Time ---- Macro Sub Graph / Narrow Time Slice Micro ---- Scale ---- Macro Whole Graph / Narrow Time Slice

70. Better manual layout of nodes

71. Clustering and composite nodes

72. Add/remove a node to/from a cluster

73. Add/remove a node to/from a composite

74. Web interface (HTML5/Azure)

75. Add social network data sources: