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A Social Network Model Based on Topology Vision

  • Ping-Nan Hsiao
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 5)

Abstract

There are many researchers proposed social network models in recent years, and most of them focus on clustering coefficient property of a small-world network and power law degree distribution of a scale-free property. In social network topology, we observed the network is consisted of many nodes with small connectivity and a few high-degree nodes. In the small connectivity part, there are many nodes which have only one degree. Most of past social network models can not generate this part. In this paper, we proposed a social network model based on topology vision and with tunable high hub connectivity. At the same time, we suggested a new characteristic of social network, condensed clustering coefficient, to replace the original clustering coefficient. Finally, this study also includes the analysis of real social network data.

Keywords

Social Network Network Model BA Model Small-World Scale-Free Clustering Coefficient Condensed Clustering Coefficient 

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Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2009

Authors and Affiliations

  • Ping-Nan Hsiao
    • 1
  1. 1.Research Center for Humanities and Social SciencesAcademia SinicaTaipeiTaiwan

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