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Social Network/ing Research Symposium, University of Toronto,  Nov 2&3, 2007 Dimitrina Dimitrova, York University Don Brookes, Canadian Water Network
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Thinking Trap: “CWN’s Network” Future Without CWN?
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The house I got. The house I wanted.
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Sector of Respondents  (Columns)  by Sector of their Ties  (Rows) N = 1904 SECTOR OF RESPONDENT Academic Federal Government Provincial Government Local Government Industry NGO Others Total SECTOR OF TIE Academic 53% (424) 26% (47) 14% (27) 10% (32) 18% (42) 11% (14) 18% (7) 593 Federal Government 14% (113) 19% (34) 10% (19) 4% (12) 5% (13) 4% (5) 3% (1) 197 Provincial Government 9% (75) 16% (29) 38% (72) 11% (36) 13% (32) 10% (12) 16% (6) 262 Local Government 6% (46) 10% (18) 14% (27) 42% (132) 26% (61) 13% (16) 16% (6) 306 Industry 10% (76) 8% (15) 16% (30) 17% (52) 31% (73) 18% (22) 5% (2) 270 NGO 6% (49) 5% (9) 3% (6) 6% (19) 3% (8) 22% (27) 29% (11) 129 Others 1% (11) 15% (27) 4% (7) 10% (30) 3% (8) 22% (27) 13% (5) 115 N 100% (794) 100%  (179) 100%  (188) 100%  (313) 100% (237) 100% (123) 100%  (38) 1872
Clique : 164, 128, 146
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The Role of Social Networks in Collaborative Networks

  • 1. Social Network/ing Research Symposium, University of Toronto, Nov 2&3, 2007 Dimitrina Dimitrova, York University Don Brookes, Canadian Water Network
  • 2.
  • 3. Thinking Trap: “CWN’s Network” Future Without CWN?
  • 4.
  • 5. The house I got. The house I wanted.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14. Sector of Respondents (Columns) by Sector of their Ties (Rows) N = 1904 SECTOR OF RESPONDENT Academic Federal Government Provincial Government Local Government Industry NGO Others Total SECTOR OF TIE Academic 53% (424) 26% (47) 14% (27) 10% (32) 18% (42) 11% (14) 18% (7) 593 Federal Government 14% (113) 19% (34) 10% (19) 4% (12) 5% (13) 4% (5) 3% (1) 197 Provincial Government 9% (75) 16% (29) 38% (72) 11% (36) 13% (32) 10% (12) 16% (6) 262 Local Government 6% (46) 10% (18) 14% (27) 42% (132) 26% (61) 13% (16) 16% (6) 306 Industry 10% (76) 8% (15) 16% (30) 17% (52) 31% (73) 18% (22) 5% (2) 270 NGO 6% (49) 5% (9) 3% (6) 6% (19) 3% (8) 22% (27) 29% (11) 129 Others 1% (11) 15% (27) 4% (7) 10% (30) 3% (8) 22% (27) 13% (5) 115 N 100% (794) 100% (179) 100% (188) 100% (313) 100% (237) 100% (123) 100% (38) 1872
  • 15. Clique : 164, 128, 146
  • 16.
  • 17.  
  • 18.
  • 19.
  • 20.

Editor's Notes

  1. The purpose of this presentation is to illustrate the use of social network analysis in helping the Canadian Water Network (CWN) to understand its social capital and to set strategy. We briefly describe the results of a project initiated by Don Brookes on behalf of CWN and led by Dima Dimitrova at the University of Toronto.