Monitoring Contributions Online: A Reputation System to Model Expertise in Online Communities

  • Thieme Hennis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6787)


This document contains a brief description of my PhD research, with problem definition, contribution to the field of reputation systems and user modeling, and proposed solution. The proposed method and algorithm enable evaluation of contributions in online knowledge-based communities. The innovation in the approach is the use of authority and specifying reputation on the keyword-level.


reputation user-modeling motivation transitivity context 


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  1. 1.
    Agichtein, E., et al.: Finding high-quality content in social media. In: Proceedings of the International Conference on Web Search and Web Data Mining, WSDM 2008, p. 183 (2008)Google Scholar
  2. 2.
    Cheng, R., Vassileva, J.: Design and evaluation of an adaptive incentive mechanism for sustained educational online communities. User Modeling and User-Adapted Interaction 16(3-4), 321–348 (2006)CrossRefGoogle Scholar
  3. 3.
    Davidson, C.N., Goldberg, D.T.: The future of learning institutions in a digital age. The MIT Press, Cambridge (2009)Google Scholar
  4. 4.
    Drachsler, H., et al.: Personal recommender systems for learners in lifelong learning networks: the requirements, techniques and model. International Journal of Learning Technology 3(4), 404–423 (2008)CrossRefGoogle Scholar
  5. 5.
    Farmer, F.R., Glass, B.: Building Web Reputation Systems. O’Reilly Media, Sebastopol (2010)Google Scholar
  6. 6.
    Gal-Oz, N., et al.: Cross-Community Reputation: Policies and alternatives. In: IADIS Int. Conf. on Web Based Communities (WBC 2008), pp. 197–201 (2008)Google Scholar
  7. 7.
    Golbeck, J., Hendler, J.: Accuracy of Metrics for Inferring Trust and Reputation in Semantic Web-based Social Networks. LNCS (2004)Google Scholar
  8. 8.
    Hennis, T., et al.: Reputation in peer-based learning environments (in print). In: Santos, O.C., Boticario, J.G. (eds.) Educational Recommender Systems and Technologies, IGI (2011)Google Scholar
  9. 9.
    Huizing, A.: The value of a rose: rising above objectivism and subjectivism. Working Papers on Information Systems 7(11), 25 (2007)Google Scholar
  10. 10.
    Jøsang, A.: Trust and reputation systems. In: Aldini, R., Gorrieri, R. (eds.) Foundations of Security Analysis and Design, vol. 2006, pp. 209–245. Springer, Heidelberg (2007)Google Scholar
  11. 11.
    Kamvar, S.D., et al.: The Eigentrust algorithm for reputation management in P2P networks. In: WWW 2003, pp. 640–651. ACM Press, New York (2003)Google Scholar
  12. 12.
    Kleanthous, S., Dimitrova, V.: Analyzing community knowledge sharing behavior. In: De Bra, P., Kobsa, A., Chin, D. (eds.) UMAP 2010. LNCS, vol. 6075, pp. 231–242. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  13. 13.
    McLure-Wasko, M., Faraj, S.: Why Should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of Practice. MIS Quarterly 29(1) (2005)Google Scholar
  14. 14.
    Moore, T.D., Serva, M.A.: Understanding member motivation for contributing to different types of virtual communities: a proposed framework. In: Proceedings of the 2007 ACM SIGMIS CPR Conference on Computer Personnel Research: The Global Information Technology Workforce, pp. 153–158. ACM, New York (2007)Google Scholar
  15. 15.
    Resnick, P., et al.: Reputation Systems. Communications of the ACM 43(12), 45–48 (2000)CrossRefGoogle Scholar
  16. 16.
    Sabater, J., Sierra, C.: Review on Computational Trust and Reputation Models. Artificial Intelligence Review 24(1), 33–60 (2005)CrossRefzbMATHGoogle Scholar
  17. 17.
    Squazzoni, F.: Review of Reputation in Artificial Societies: Social Beliefs for Social Order,
  18. 18.
    Tuomi, I.: Learning in the Age of Networked Intelligence. European Journal of Education 42(2), 235–254 (2007)CrossRefGoogle Scholar
  19. 19.
    Vu, L.-H., et al.: Synergies of Different Reputation Systems: Challenges and Opportunities. In: 2009 World Congress on Privacy, Security, Trust and the Management of e-Business, pp. 218–226. IEEE Computer Society, Saint John (2009)CrossRefGoogle Scholar
  20. 20.
    Vygotsky, L.S.: Mind in society: The development of higher psychological processes. Harvard University Press, Cambridge (1978)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Thieme Hennis
    • 1
  1. 1.TU DelftDelftthe Netherlands

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