Visualizing Personal Relations in Online Communities

  • Andrew Webster
  • Julita Vassileva
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4018)


A hard challenge facing developers of online communities is attaining a critical mass of members and subsequently sustaining their participation. We propose a new mechanism for motivating participation in interest-based online communities, which engages non-contributing members (lurkers) by modeling and visualizing the asymmetrical relations formed when reading, evaluating, or commenting other community members’ contributions. The mechanism is based on ideas from open user modeling, a new concept of “community energy,” with a mechanism of rating contributions and visualizing the rank of contributions in the community interface.


Online Community Energy Unit Discussion Forum Virtual Community Core Member 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Preece, J.: Sociability and usability in online communities: determining and measuring success. Behaviour & Information Technology 20(5), 347–356 (2001)CrossRefGoogle Scholar
  2. 2.
    Maloney-Krichmar, D., Preece, J.: A multilevel analysis of sociability, usability, and community dynamics in an online health community. ACM Trans. Comput. -Hum. Interact 12(2), 201–232 (2005)CrossRefGoogle Scholar
  3. 3.
    Michele Boyd, D.: Friendster and publicly articulated social networking. In: CHI 2004 extended abstracts on human factors in computing systems Vienna, Austria, pp. 1279–1282. ACM Press, New York (2004)CrossRefGoogle Scholar
  4. 4.
    Johnson, C.M.: A survey of current research on online communities of practice. The Internet and Higher Education 4(1), 45–60 (2001)CrossRefGoogle Scholar
  5. 5.
    Wellman, B., Salaff, J., Dimitrova, D., Garton, L., Gulia, M., Haythornthwaite, C.: Computer networks as social networks: Collaborative work, telework, and virtual community. Annual Review of Sociology 22, 213–238 (1996)CrossRefGoogle Scholar
  6. 6.
    Nonnecke, B., Preece, J.: Lurker demographics: counting the silent. In: CHI 2000 Conference Proceedings. Conference on Human Factors in Computing Systems. CHI 2000. The Future is Here, pp. 73–80. ACM, The Hague (2000)CrossRefGoogle Scholar
  7. 7.
    Rheingold, H.: The Virtual Community: Homesteading on the Electronic Frontier. Addison-Wesley Pub. Co., Reading (1993)Google Scholar
  8. 8.
    Smith, M., Kollock, P.: Communities in Cyberspace. Routledge, London (1999)Google Scholar
  9. 9.
    Preece, J., Nonnecke, B., Andrews, D.: The top five reasons for lurking: improving community experiences for everyone. Computers in Human Behavior 20(2), 201–223 (2004)CrossRefGoogle Scholar
  10. 10.
    Takahashi, M., Fujimoto, M., Yamasaki, N.: The active lurker: influence of an in-house online community on its outside environment. In: Proceedings of the 2003 international ACM SIGGROUP conference on Supporting group work Sanibel Island, Florida, USA, pp. 1–10. ACM Press, New York (2003)CrossRefGoogle Scholar
  11. 11.
    Preece, J., Maloney-Krichmar, D.: Online communities: focusing on sociability and usability, pp. 596–620. Lawrence Erlbaum Associates, Inc., Mahwah (2003)Google Scholar
  12. 12.
    Grudin, J.: Groupware and social dynamics: eight challenges for developers. Communications of the Acm 37(1), 92–105 (1994)CrossRefGoogle Scholar
  13. 13.
    Blackwell Handbook of Social Psychology: Group Processes. Malden. Blackwell Publishers, Massachusetts (2001)Google Scholar
  14. 14.
    Kraut, R.E.: Applying Social Psychology Theory to the Problems of Group Work. In: Carrol, J.M. (ed.) HCI Models, Theories and Frameworks: Toward a Multidisciplinary Science, pp. 325–356. Morgan Kaufmann, New York (2003)CrossRefGoogle Scholar
  15. 15.
    Beenen, G., Ling, K., Wang, X., Chang, K., Frankowski, D., Resnick, P., Kraut, R.E.: Using social psychology to motivate contributions to online communities. In: Proceedings of the 2004 ACM conference on computer supported cooperative work Chicago, Illinois, USA, pp. 212–221. ACM Press, New York (2004)CrossRefGoogle Scholar
  16. 16.
    Dholakia, U.M., Bagozzi, R.P., Pearo, L.K.: A social influence model of consumer participation in network- and small-group-based virtual communities. International Journal of Research in Marketing 21(3), 241–263 (2004)CrossRefGoogle Scholar
  17. 17.
    Cheng, R., Vassileva, J.: Adaptive Incentive Mechanism for Sustainable Online Community, pp. 152–159. IOS Press, Amsterdam (2005)Google Scholar
  18. 18.
    Bull, S., Brna, P., Dimitrova, V.: LeMoRe (2006),
  19. 19.
    Granovetter, M.: The Strength of Weak Ties. Current Contents/Social & Behavioral Sciences 49, 24 (1986)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Andrew Webster
    • 1
  • Julita Vassileva
    • 1
  1. 1.Computer Science DepartmentUniversity of SaskatchewanCanada

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