Extracting and Utilizing Social Networks from Log Files of Shared Workspaces

  • Peyman Nasirifard
  • Vassilios Peristeras
  • Conor Hayes
  • Stefan Decker
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 307)


Log files of online shared workspaces contain rich information that can be further analyzed. In this paper, log-file information is used to extract object-centric and user-centric social networks. The object-centric social networks are used as a means for assigning concept-based expertise elements to users based on the documents that they created, revised or read. The user-centric social networks are derived from users working on common documents. Weights, called the Cooperation Index, are assigned to links between users in a user-centric social network, which indicates how closely two people have collaborated together, based on their history. We also present a set of tools that was developed to realize our approach.


  1. 1.
    Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web, A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities. Scientific American (May 2001)Google Scholar
  2. 2.
    Culotta, A., Bekkerman, R., McCallum, A.: Extracting social networks and contact information from email and the Web. In: First Conference on Email and Anti-Spam (2004)Google Scholar
  3. 3.
    Adamic, L.A., Buyukkokten, O., Adar, E.: A social network caught in the Web. First Monday 8(6) (2003)Google Scholar
  4. 4.
    Nurmela, K., Lehtinen, E., Palonen, T.: Evaluating CSCL log files by social network analysis. In: CSCL 1999: Proceedings of the conference on Computer support for collaborative learning. International Society of the Learning Sciences (1999)Google Scholar
  5. 5.
    De Choudhury, M., Sundaram, H., John, A., Seligmann, D.: Dynamic prediction of communication flow using social context. In: HT 2008: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia, pp. 49–54. ACM, New York (2008)CrossRefGoogle Scholar
  6. 6.
    Balog, K., De Rijke, M.: Finding experts and their details in e-mail corpora. In: WWW 2006: Proceedings of the 15th international conference on World Wide Web (2006)Google Scholar
  7. 7.
    Demartini, G.: Finding experts using Wikipedia. In: Proceedings of the 2nd International ISWC+ASWC Workshop on Finding Experts on the Web with Semantics (2007)Google Scholar
  8. 8.
    Chen, H., Shen, H., Xiong, J., Tan, S., Cheng, X.: Social network structure behind the mailing lists. ICT-IIIS at TREC 2006 Expert Finding Track. In: Fifteenth Text Retrieval Conference, TREC (2006)Google Scholar
  9. 9.
    Zhang, J., Ackerman, M.S., Adamic, L.: Expertise networks in online communities: structure and algorithms. In: Proceedings of the 16th international conference on World Wide Web, New York, NY, USA, pp. 221–230 (2007)Google Scholar
  10. 10.
    Liu, X., Croft, W.B., Koll, M.: Finding experts in community-based question-answering services. In: CIKM 2005: Proceedings of the 14th ACM international conference on Information and knowledge management, New York, NY, USA, pp. 315–316 (2005)Google Scholar
  11. 11.
    Chang, Y., Chang, Y., Hsu, S., Chen, C.: Social network analysis to blog-based online community. In: ICCIT 2007: Proceedings of the 2007 International Conference on Convergence Information Technology (2007)Google Scholar
  12. 12.
    Nasirifard, P., Peristeras, V.: Expertise extracting within online shared workspaces. In: Proceedings of the WebSci 2009: Society On-Line (2009)Google Scholar
  13. 13.
    Demsar, D., Mozetic, I., Lavrac, N.: Collaboration opportunity finder. In: Virtual Enterprises and Collaborative Networks, pp. 179–186. Springer, Heidelberg (2007)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2009

Authors and Affiliations

  • Peyman Nasirifard
    • 1
  • Vassilios Peristeras
    • 1
  • Conor Hayes
    • 1
  • Stefan Decker
    • 1
  1. 1.Digital Enterprise Research InstituteNational University of Ireland, GalwayGalwayIreland

Personalised recommendations