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Dynamic Trust Models between Users over Social Networks

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Final rept. 31 Mar 2013-30 Mar 2016

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In this project, by focusing on a number of word-of-mouth communication websites, we attempted to construct dynamic trust models between users that enable to explain trust formation and its evolution processes over social networks with reasonable accuracy. Consequently, we obtained our research results on four new approaches, 1 to rank items based on the MTDF Multinomial with Trust Discount Factor model, 2 to estimate the conformity of users from the observed review scores, 3 to predict evolution of trust links under the presence of mediators, and 4 to analyze activities among users based on a non-negative matrix factorization NMF method. By using the datasets of item review scores and trust networks collected from a number of websites such as Epinions, we confirmed that our proposed models and methods can be useful basic techniques for uncovering fundamental mechanisms of trust formation and its evolution processes over trust networks. During our research period, we presented 3 papers published in peer-reviewed journals and 13 papers published in peer-reviewed conference proceedings as attached in this report.

Subject Categories:

  • Information Science
  • Sociology and Law
  • Operations Research
  • Computer Systems
  • Cybernetics

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