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Impact of Opinions and Relationships Coevolving on Self-Organization of Opinion Clusters

Author

Listed:
  • Songlin Zhang

    (Center for Networked System, School of Computer Science, Southwest Petroleum University)

  • Lixue Chen

    (Center for Networked System, School of Computer Science, Southwest Petroleum University)

  • Dong Hu

    (Center for Networked System, School of Computer Science, Southwest Petroleum University)

  • Xian Sun

    (Center for Networked System, School of Computer Science, Southwest Petroleum University)

Abstract

In a social network, individual opinions and interpersonal relationships always interact and coevolve. This continuously leads to self-organization of opinion clusters in the whole network. In this article we study how the coevolution on the two kinds of complex networks and the self-organization of opinion clusters are differently affected by the dynamic parameters, the structural parameters and the propagating parameters. It is found that the two dynamic parameters are homogeneous bringing about the strong and weak relations, while the two structural parameters are heterogeneous having equivalent relations. Moreover, the impact of the propagating parameter has been found only above its threshold.

Suggested Citation

  • Songlin Zhang & Lixue Chen & Dong Hu & Xian Sun, 2013. "Impact of Opinions and Relationships Coevolving on Self-Organization of Opinion Clusters," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 11(3), pages 310-317.
    • Handle: RePEc:zna:indecs:v:11:y:2013:i:3:p:310-317
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    More about this item

    Keywords

    opinion cluster; coevolution; self-organization; opinion propagation; relationship evolving;
    All these keywords.

    JEL classification:

    • D70 - Microeconomics - - Analysis of Collective Decision-Making - - - General
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

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