Advertisement

Community Focused Social Network Extraction

  • Masahiro Hamasaki
  • Yutaka Matsuo
  • Keisuke Ishida
  • Yoshiyuki Nakamura
  • Takuichi Nishimura
  • Hideaki Takeda
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4185)

Abstract

A social networking service can become the basis for the information infrastructure of the future. For that purpose, it is important to extract social networks that reflect actual social networks which users have already had. Providing a simple means for users to register their social relations is also important. We propose a method that combines various approaches to extract social networks. Especially, three kinds of networks are extracted: user-registered Know-link networks; Web-mined Web-link networks; and face-to-face Touch-link networks. This paper describes the combination of social network extraction for an event-participant community. Analyses on the extracted social networks are also presented.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Adamic, L.A., Adar, E.: Friends and neighbors on the web. Social Networks 25(3), 211–230 (2003)CrossRefGoogle Scholar
  2. 2.
    Finin, T., Ding, L., Zou, L.: Social networking on the semantic web. The Learning Organization (2005)Google Scholar
  3. 3.
    Golbeck, J., Hendler, J.: Inferring trust relationships in web-based social networks. ACM Transactions on Internet Technology (2005)Google Scholar
  4. 4.
    Grudin, J.: Groupware and social dynamics: Eight challenges for developers. Communications of the ACM 37(1), 99–105 (1994)CrossRefGoogle Scholar
  5. 5.
    Ishida, T. (ed.): Community Computing: Collaboration over Global Information Networks. John Wiley and Sons, Chichester (1998)Google Scholar
  6. 6.
    Massa, P., Avesani, P.: Controversial users demand local trust metrics: an experimental study on epinions.com community. In: Proceedings of AAAI 2005 (2005)Google Scholar
  7. 7.
    Matsuo, Y., Mori, J., Hamasaki, M., Takeda, H., Nishimura, T., Hashida, K., Ishizuka, M.: Polyphonet: An advanced social network extraction system. In: Proceedings of WWW 2006 (to appear)Google Scholar
  8. 8.
    Mika, P.: Flink: Semantic web technology for the extraction and analysis of social networks. Journal of Web Semantics, 3 (2005)Google Scholar
  9. 9.
    Mika, P.: Ontologies are us: A unified model of social networks and semantics. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729, pp. 522–536. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  10. 10.
    Miki, T., Nomura, S., Ishida, T.: Semantic web link analysis to discover social relationship in academic communities. In: Proccedings of SAINT 2005 (2005)Google Scholar
  11. 11.
    Pentland, A.: Socially aware computation and communication. IEEE Computer, Los Alamitos (2005)Google Scholar
  12. 12.
    Staab, S., Dmingos, P., Finin, T., Mika, P., Joshi, A., Golbeck, J., Nowak, A., Ding, L., Vallecher, R.R.: Social network applied. IEEE Intelligent systems, 80–93 (2005)Google Scholar
  13. 13.
    Takeda, H., Ohmukai, I.: Building semantic web applications as information/knowledge sharing systems. In: Proceedings of End User Aspects of the Semantic Web (2005)Google Scholar
  14. 14.
    Tyler, J., Wilkinson, D., Huberman, B.A.: Email as spectroscopy: automated discovery of community structure within organizations. Communities and technologies, 81–96 (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Masahiro Hamasaki
    • 1
  • Yutaka Matsuo
    • 1
  • Keisuke Ishida
    • 1
  • Yoshiyuki Nakamura
    • 1
  • Takuichi Nishimura
    • 1
  • Hideaki Takeda
    • 2
  1. 1.National Institute of Advanced Industrial Science and Technology (AIST)TokyoJapan
  2. 2.National Institute of Informatics (NII)TokyoJapan

Personalised recommendations