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Thinking Network Thoughtsmeasuring your intranet’s activity using social network analysis<br />Gordon Ross<br />Vice Presi...
@gordonr@thoughtfarmer#sisw<br />
CC: Michael Krigsman, Flickr  http://www.flickr.com/photos/mkrigsman/3428179614/<br />
Who is connected to whom?<br />
How does information, influence, and power travel through the network?<br />
What action can I take to have an effect on the network?<br />
 Wikimedia Commons: http://commons.wikimedia.org/wiki/File:Maasai_tribe.jpg<br />
Source: Informal Networks, Krackhardt & Hanson, HBR Jul-Aug 1993<br />
Source: Informal Networks, Krackhardt & Hanson, HBR Jul-Aug 1993<br />
Source: Informal Networks, Krackhardt & Hanson, HBR Jul-Aug 1993<br />
Source: Informal Networks, Krackhardt & Hanson, HBR Jul-Aug 1993<br />
Source: Informal Networks, Krackhardt & Hanson, HBR Jul-Aug 1993<br />
Source: Informal Networks, Krackhardt & Hanson, HBR Jul-Aug 1993<br />
Source: Informal Networks, Krackhardt & Hanson, HBR Jul-Aug 1993<br />
Source: Informal Networks, Krackhardt & Hanson, HBR Jul-Aug 1993<br />
Tie<br />Node A<br />Node B<br />
work together<br />Gordon<br />Darren<br />
Fred<br />Claire<br />Sarah<br />Jennifer<br />Ben<br />Claudia<br />Susan<br />Steven<br />Tom<br />David<br />Kite Netwo...
Fred<br />Claudia has the highest betweeness, is a bridge to Ben & Jennifer<br />Claire<br />Sarah<br />Jennifer<br />Ben<...
Fred<br />Claire<br />Sarah<br />Jennifer<br />Ben<br />Claudia<br />Susan<br />Steven<br />Tom<br />David<br />Kite Netwo...
Fred<br />Claire<br />Sarah<br />Jennifer<br />Ben<br />Susan<br />Steven<br />Tom<br />David<br />Kite Network Example – ...
Let’s get back to the intranet, shall we?<br />
12 months<br />289 users<br />7140 comment ties<br />owns<br />commented on<br />Christina<br />Bevin<br />Intranet page<b...
Cool. How’d you do that?<br />
“Social Network Analysis is to  Enterprise 2.0 systems what  Business Intelligence is to  ERP systems.”<br />
1. Define your analysis goals<br />
What is it about your intranet that you're interested in analyzing? <br />
2. Collect and structure your data<br />
Christina<br />Bevin<br />Tara<br />http://Intranet/HR/policy/1386<br />Bevin<br />http://Intranet/HR/policy/2723<br />
3. Interpret your data<br />
Source: Svein Tuft, cyclingweekly<br />
4. Prepare your findings<br />
Source: SocialAction, University of Maryland <br />
CC – Leo Reynolds , Flickr http://www.flickr.com/photos/lwr/3578321624/<br />
Source: http://gapingvoid.com<br />
Source: http://johngushue.typepad.com/blog/2007/11/curious-george-.html<br />
Image: Jessica Hagy, Indexed, http://thisisindexed.com/<br />
thank you<br />Gordon Ross<br />gordonr@openroad.ca<br />twitter.com/gordonr<br />www.thoughtfarmer.com/blog<br />
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Measuring Your Intranet's Activity Through Social Network Analysis - Gordon Ross

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Sure you know how your intranet content is performing, but how about who's collaborating and communicating with each other? What's really happening on your social intranet? Learn how to gain insight into your intranet's activity using social network analysis.

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Measuring Your Intranet's Activity Through Social Network Analysis - Gordon Ross

  1. 1. Thinking Network Thoughtsmeasuring your intranet’s activity using social network analysis<br />Gordon Ross<br />Vice President & Partner<br />OpenRoad Communications<br />
  2. 2.
  3. 3.
  4. 4. @gordonr@thoughtfarmer#sisw<br />
  5. 5.
  6. 6.
  7. 7. CC: Michael Krigsman, Flickr http://www.flickr.com/photos/mkrigsman/3428179614/<br />
  8. 8. Who is connected to whom?<br />
  9. 9. How does information, influence, and power travel through the network?<br />
  10. 10. What action can I take to have an effect on the network?<br />
  11. 11. Wikimedia Commons: http://commons.wikimedia.org/wiki/File:Maasai_tribe.jpg<br />
  12. 12.
  13. 13. Source: Informal Networks, Krackhardt & Hanson, HBR Jul-Aug 1993<br />
  14. 14. Source: Informal Networks, Krackhardt & Hanson, HBR Jul-Aug 1993<br />
  15. 15. Source: Informal Networks, Krackhardt & Hanson, HBR Jul-Aug 1993<br />
  16. 16.
  17. 17. Source: Informal Networks, Krackhardt & Hanson, HBR Jul-Aug 1993<br />
  18. 18. Source: Informal Networks, Krackhardt & Hanson, HBR Jul-Aug 1993<br />
  19. 19. Source: Informal Networks, Krackhardt & Hanson, HBR Jul-Aug 1993<br />
  20. 20. Source: Informal Networks, Krackhardt & Hanson, HBR Jul-Aug 1993<br />
  21. 21. Source: Informal Networks, Krackhardt & Hanson, HBR Jul-Aug 1993<br />
  22. 22.
  23. 23. Tie<br />Node A<br />Node B<br />
  24. 24. work together<br />Gordon<br />Darren<br />
  25. 25. Fred<br />Claire<br />Sarah<br />Jennifer<br />Ben<br />Claudia<br />Susan<br />Steven<br />Tom<br />David<br />Kite Network Example – David Krackhardt, Carnegie Mellon University<br />
  26. 26. Fred<br />Claudia has the highest betweeness, is a bridge to Ben & Jennifer<br />Claire<br />Sarah<br />Jennifer<br />Ben<br />Claudia<br />Susan<br />Steven<br />Tom<br />Sarah and Steven share highest closeness, nearest to everyone<br />Jennifer has the lowest closeness, is the furthest “away”<br />David<br />Susan has the highest degree, most connections<br />
  27. 27. Fred<br />Claire<br />Sarah<br />Jennifer<br />Ben<br />Claudia<br />Susan<br />Steven<br />Tom<br />David<br />Kite Network Example – David Krackhardt, Carnegie Mellon University<br />
  28. 28. Fred<br />Claire<br />Sarah<br />Jennifer<br />Ben<br />Susan<br />Steven<br />Tom<br />David<br />Kite Network Example – David Krackhardt, Carnegie Mellon University<br />
  29. 29. Let’s get back to the intranet, shall we?<br />
  30. 30.
  31. 31.
  32. 32. 12 months<br />289 users<br />7140 comment ties<br />owns<br />commented on<br />Christina<br />Bevin<br />Intranet page<br />
  33. 33.
  34. 34.
  35. 35. Cool. How’d you do that?<br />
  36. 36.
  37. 37. “Social Network Analysis is to Enterprise 2.0 systems what Business Intelligence is to ERP systems.”<br />
  38. 38.
  39. 39.
  40. 40. 1. Define your analysis goals<br />
  41. 41. What is it about your intranet that you're interested in analyzing? <br />
  42. 42. 2. Collect and structure your data<br />
  43. 43. Christina<br />Bevin<br />Tara<br />http://Intranet/HR/policy/1386<br />Bevin<br />http://Intranet/HR/policy/2723<br />
  44. 44. 3. Interpret your data<br />
  45. 45.
  46. 46. Source: Svein Tuft, cyclingweekly<br />
  47. 47.
  48. 48.
  49. 49. 4. Prepare your findings<br />
  50. 50. Source: SocialAction, University of Maryland <br />
  51. 51. CC – Leo Reynolds , Flickr http://www.flickr.com/photos/lwr/3578321624/<br />
  52. 52. Source: http://gapingvoid.com<br />
  53. 53.
  54. 54.
  55. 55.
  56. 56. Source: http://johngushue.typepad.com/blog/2007/11/curious-george-.html<br />
  57. 57. Image: Jessica Hagy, Indexed, http://thisisindexed.com/<br />
  58. 58. thank you<br />Gordon Ross<br />gordonr@openroad.ca<br />twitter.com/gordonr<br />www.thoughtfarmer.com/blog<br />

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