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Opinion Dynamics In Populations With Implicit Community Structure

Author

Listed:
  • XIAMENG SI

    (School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, P. R. China;
    Key Laboratory of Communication and Information Systems, Beijing Municipal Commission of Education, Beijing 100044, P. R. China)

  • YUN LIU

    (School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, P. R. China;
    Key Laboratory of Communication and Information Systems, Beijing Municipal Commission of Education, Beijing 100044, P. R. China)

  • ZHENJIANG ZHANG

    (School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, P. R. China;
    Key Laboratory of Communication and Information Systems, Beijing Municipal Commission of Education, Beijing 100044, P. R. China)

Abstract

Web encounter facilitate contacts between people from different communities outside space and time.Implicit Community Structureis exhibited because of highly connected links within community and sparseencountersbetween communities. Considering the imperceptible influence ofencounteron opinions, Sznajd updating rules are used to mimic people's behaviors after encountering a stranger in another community. We introduce a model for opinion evolution, in which the interconnectivity between different communities is represented asencounter frequency, andleadershipis introduced to control the strength of community's opinion guide. In this scenario, the effects ofImplicit Community Structureof contact network on opinion evolution, for asymmetric and random initial distribution but with heterogeneous opinion guide, are investigated respectively. It is shown that largeencounter frequencyfavors consensus of the whole populations and successful opinion spreading, which is qualitatively agree with the results observed in Majority model defined on substrates with predefined community structure.

Suggested Citation

  • Xiameng Si & Yun Liu & Zhenjiang Zhang, 2009. "Opinion Dynamics In Populations With Implicit Community Structure," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 20(12), pages 2013-2026.
    • Handle: RePEc:wsi:ijmpcx:v:20:y:2009:i:12:n:s0129183109014898
    DOI: 10.1142/S0129183109014898
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    Cited by:

    1. Baldassarri, Simone & Gallo, Anna & Jacquier, Vanessa & Zocca, Alessandro, 2023. "Ising model on clustered networks: A model for opinion dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 623(C).
    2. Si, Xia-Meng & Wang, Wen-Dong & Ma, Yan, 2016. "Role of propagation thresholds in sentiment-based model of opinion evolution with information diffusion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 549-559.

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