Human communication network based on the classification results of personal preferences by using self-organizing map

  • Authors:
  • Takumi Inchimura;Azusa Yamasaki;Akira Hara;Testsuyuki Takahama

  • Affiliations:
  • Graduate School of Information Sciences, Hiroshima City University, Hiroshima, Japan;A Graduate of Department of Intelligent Systems, Faculty of Information Sciences, Hiroshima City University;Graduate School of Information Sciences, Hiroshima City University, Hiroshima, Japan;Graduate School of Information Sciences, Hiroshima City University, Hiroshima, Japan

  • Venue:
  • SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
  • Year:
  • 2009

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Abstract

Social network community may show a kind of properties of complex networks, where key persons called "hub" become bridges to other social network community and then a large network community is formed to combine some small social networks in nature. The relationship between human and human in their network communities was constructed in the virtual space, however, the kind and the strength of their relationships was disregarded. In this paper, based on classified personal preferences by Self-Organizing Map, we propose the adjustment method to decide whether the link between person and person in the network community exists. The initial network formed by BA model and the network changed by our proposed method was analysed by GNS method. We also reported the simulation result for Social Network Services.