Automated Social Network Analysis for Collaborative Work

  • Larry Korba
  • Ronggong Song
  • George Yee
  • Andrew Patrick
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4101)


Inter-networked computers enable virtual collaborative work. In the course of interacting with one another, individuals send and receive messages and files of various sorts. This may be done within specialized collaborative work environments, or by simply employing a combination of different communication tools and applications. In the course of doing their work, collaborators perform different actions that create and/or otherwise manipulate digital artifacts that are related to different aspects of their collaboration. Social network analysis is used to develop a fuller understanding of interactions between people. We describe a software prototype of a tool that automatically measures and analyzes aspects of collaboration developing visualizations of likely social interactions. In this paper we describe the system, some early results, and several different possible applications of the technology.


Social Network Analysis Collaborative Work Link Prediction Interface Agent Monitoring Agent 
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.
    Bruegge, B., Houghton, A.: Computer-Supported Cooperative Work: Discussion Summary. In: Software Engineering: Education and Practice International Conference, pp. 516–519 (1996)Google Scholar
  2. 2.
    Mills, K.L.: Introduction to the Electronic Symposium on Computer-Supported Cooperative Work. ACM Computing Surveys 31(2), 105–115 (1999)CrossRefGoogle Scholar
  3. 3.
    Ricadela, A.: Office 2007 to feature new workflow and collaboration tools, Information Week (February 15, 2006), available at:
  4. 4.
    Temdee, P., Korba, L.: Of Networks, Interactions and Agents: An Approach for Social Network Analysis. In: Proc. 6th International Conference on CSCW in Design, London, Ontario, July 12-14 (2001)Google Scholar
  5. 5.
    Wellman, B.: For a social network analysis of computer networks: a Sociological Perspective on Collaborative Work and Virtual Community. In: Proc. of the 1996 conference on ACM SIGCPR/SIGMIS Conference, pp. 1–11 (1996)Google Scholar
  6. 6.
    Domingos, P., Richardson, M.: Mining the Network Value of Customers. In: Proc. of the 7th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, San Francisco, pp. 57–66 (2001)Google Scholar
  7. 7.
    Gloor, P.A.: Capturing Team Dynamics through Temporal Social Surfaces. In: Proc. of the 9th Int. Conf. on Information Visualization 2005, July 6-8, pp. 939–944 (2005)Google Scholar
  8. 8.
    Zhang, J., Ackerman, M.: Searching for Expertise in Social Networks: A Simulation of potential Strategies. In: Proc. of the 2005 Int. ACM SIGGROUP conf. on Supporting Group Work, Florida, pp. 71–80 (2005)Google Scholar
  9. 9.
    Popescul, A., Ungar, L.: Statistical Relational Learning for Link Prediction. In: Workshop on Learning Statistical Models from Relational Data, IJCAI 2003 (2003)Google Scholar
  10. 10.
    Lin, F., Chen, C., Tsai, K.: Discovering Group Interaction Patterns in a Teachers Professional Community. In: Proc. 36th Ann. Hawaii Int. Conf. on System Science, January 6-9 (2003)Google Scholar
  11. 11.
    Fischer, D.: Using Egocentric Networks to Understand Communication. IEEE Internet Computing 9(5), 20–28 (2005)CrossRefGoogle Scholar
  12. 12.
    Pajek: Program for Large Network Analysis, available at:
  13. 13.
    Java programming language, available at:
  14. 14.
    Jade Platform (March 2006), available at:
  15. 15.
    Yu, B., Singh, M.: Searching Social Networks. In: Proc. of the 2nd Int. Joint Conf. on Autonomous Agents and Multiagent Systems, Melbourne, Australia, pp. 65–72 (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Larry Korba
    • 1
  • Ronggong Song
    • 1
  • George Yee
    • 1
  • Andrew Patrick
    • 1
  1. 1.Institute for Information TechnologyNational Research Council of CanadaOttawa, Ontario

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