Collaboration Analysis in Recommender Systems Using Social Networks

  • Jordi Palau
  • Miquel Montaner
  • Beatriz López
  • Josep Lluís de la Rosa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3191)


Many researchers have focused their efforts on developing collaborative recommender systems. It has been proved that the use of collaboration in such systems improves performance, but what is not known is how this collaboration is done and what is more important, how it has to be done in order to optimise the information exchange. The collaborative relationships in recommender systems can be represented as a social network. In this paper we propose several measures to analyse collaboration based on social network analysis. Once these measures are explained, we use them to evaluate a concrete example of collaboration in a real recommender system.


Recommender Systems Collaboration Analysis Electronic Communities Social Networks Trust 


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  1. 1.
    Adamic, L.A., Adar, E.: Friends and neighbors on the web. Social Networks 25(3), 211–230 (2003)CrossRefGoogle Scholar
  2. 2.
    Balabanovic, M., Shoham, Y.: Combining content-based and collaborative recommendation. In: Communications of the ACM (1997)Google Scholar
  3. 3.
    Barnes, J.: Social Networks. Addison-Wesley, Reading, MA (1972)Google Scholar
  4. 4.
    Borgatti, F.L., Everett, S.P., Ucinet, M.G.: for windows: Software for social network analysis. Harvard: Analytic technologies (2002)Google Scholar
  5. 5.
    Gibson, D., Kleinberg, J.M., Raghavan, P.: Inferring web communities from link topology. In: UK Conference on Hypertext, pp. 225–234 (1998)Google Scholar
  6. 6.
    Good, N., Schafer, J., Konstan, J., Borchers, A., Sarwar, B., Herlocker, J., Riedl, J.: Combining collaborative filtering with personal agents for better recommendations. In: Proceedings of AAAI, vol. 35, pp. 439–446. AAAI Press, Menlo Park (1999)Google Scholar
  7. 7.
    Hanneman, R.A.: Introduction to Social Network Methods. (2001),
  8. 8.
    Krebs, V.: Data mining email to discover social networks and communities of practice (2003),
  9. 9.
    Montaner, M.: Collaborative Recommender Agents Based on Case-Based Reasoning and Trust. PhD thesis, Universitat de Girona (September 2003)Google Scholar
  10. 10.
    Montaner, M., López, B., de la Rosa, J.: Developing trust in recommender agents. In: Castelfranchi, C., Johnson, W.L. (eds.) Proceedings of the AAMAS 2002, Bologna, pp. 304–305. ACM Press, New York (2002)CrossRefGoogle Scholar
  11. 11.
    Montaner, M., López, B., de la Rosa, J.: Evaluation of recommender systems through simulated users. In: To be published in the 6th International Conference on Enterprise Information Systems (ICEIS 2004), Porto (Portugal) (April 2004)Google Scholar
  12. 12.
    Papakyriazis, N., Boudourides, M.: Electronic weak ties in network organizations (2001)Google Scholar
  13. 13.
    Pujol, J., Sanguesa, R., Delgado, J.: A Ranking Algorithm Based on Graph Topology to Generate Reputation or Relevance, ch. 18, pp. 382–395. Springer, Heidelberg (2003)Google Scholar
  14. 14.
    Resnick, P., Varian, H.: Recommender systems. Communications of the ACM, 56–58 (1997)Google Scholar
  15. 15.
    Sabater, J., Sierra, C.: Reputation and social network analysis in multi-agent systems. In: Proceedings of the AAMAS 2002, Bologna, Italy, July 15-19, pp. 475–482 (2002)Google Scholar
  16. 16.
    Scott, J.: Social network analysis. Sage, London (1991)Google Scholar
  17. 17.
    Venkatraman, M., Yu, B., Singh, M.: Trust and reputation management in a small-world network. In: Proceedings of Fourth International Conference on Multi Agent Systems, pp. 449–450 (2000)Google Scholar
  18. 18.
    Wasserman, S., Galaskiewicz, J.: Advances in Social Network Analysis. Sage Publications, Thousand Oaks (October 1994)Google Scholar
  19. 19.
    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

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Jordi Palau
    • 1
  • Miquel Montaner
    • 1
  • Beatriz López
    • 1
  • Josep Lluís de la Rosa
    • 1
  1. 1.Institut d’Informàtica i Aplicacions Agents Research Laboratory Universitat de GironaGironaSpain

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