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Accuracy of Metrics for Inferring Trust and Reputation in Semantic Web-Based Social Networks

  • Jennifer Golbeck
  • James Hendler
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3257)

Abstract

While most research on the topic of trust on the semantic web has focused largely on digital signatures, certificates, and authentication, more social notions of trust which are reputation-based are starting to gain attention. In this paper, we describe an algorithm for generating locally-calculated reputation ratings from a Semantic Web Social Network. We present mathematical and experimental results that show the effectiveness of this algorithm to accurately infer the reputation of a node. We then describe TrustMail, an application that uses the network for rating email.

Keywords

Small World Trust Relationship Reputation System Trust Network Good Node 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Jennifer Golbeck
    • 1
  • James Hendler
    • 1
  1. 1.MIND LabUniversity of MarylandCollege ParkUSA

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