Trust in Knowledge Flow Networks

  • Authors:

  • Weiyu Guo;Xinjie Shi;Lei Cao;Kun Yang

  • Affiliations:

  • Chinese Academy of Sciences, Beijing, China;Chinese Academy of Sciences, Beijing, China;Chinese Academy of Sciences, Beijing, China;Chinese Academy of Sciences, Beijing, China

  • Venue:
  • SKG '05 Proceedings of the First International Conference on Semantics, Knowledge and Grid
  • Year:
  • 2005

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Abstract

An ideal knowledge flow network passes right knowledge to the right person at the right time. Trust between knowledge nodes influences the efficiency of knowledge interchange in an organization. This paper presents a trust model for knowledge flow networks based on knowledge interaction experiences. Simulations show that, compared to the approach of randomly routing, the strategy using trust to help construct knowledge flow network is feasible and effective.