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Modeling and Empirical Investigation on the Microscopic Social Structure and Global Group Pattern

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Knowledge, Information and Creativity Support Systems: Recent Trends, Advances and Solutions

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 364))

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Abstract

In this paper, we investigate the microscopic social mechanisms through agent-based modeling and empirical data analysis with the aim to detect the intrinsic link between local structure balance and global pattern. The investigation based on Hopfield model suggest that three types of social influences give rise to the emergence of macroscopic polarization, and the polarization pattern is closely linked with local structure balance. In addition, the corresponding empirical examples are provided to verify the social mechanisms and model simulation results.

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Notes

  1. 1.

    Holland and Leinhardt [9] addressed that classic balance theory offers a set of simple local rules for relational change and classified local triadic motifs into 16 types, according to mutual reciprocity, asymmetry relation and non-relationship between pairs (or dyadic relations), where Code 300 triad relation corresponding to structure balance under the condition of the triad product signs satisfies “+”. More details about structure balance refer to [3, 5, 8, 9].

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Acknowledgments

This research is supported by National Basic Research Program of China under Grant No. 2010CB731405, National Natural Science Foundation of China under Grant No. 71171187, and Research Fund of Dali University (No. KYBKY1219210110).

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Authors and Affiliations

  1. Department of Statistics, School of Mathematics and Computer Science, Dali University, Dali, 671003, China

    Zhenpeng Li

  2. Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences, Beijing, 100190, China

    Xijin Tang

Authors
  1. Zhenpeng Li
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  2. Xijin Tang
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Corresponding author

Correspondence to Xijin Tang .

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Editors and Affiliations

  1. Department of Automatic Control and Biomedical Engineering, AGH University of Science and Technology, Kraków, Poland, and International Centre for Decision Sciences and Forecasting, Kraków, Poland

    Andrzej M.J. Skulimowski

  2. Polish Academy of Sciences, Systems Research Institute, Warszawa, Poland, and AGH University of Science and Technology, Kraków, Poland

    Janusz Kacprzyk

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Li, Z., Tang, X. (2016). Modeling and Empirical Investigation on the Microscopic Social Structure and Global Group Pattern. In: Skulimowski, A., Kacprzyk, J. (eds) Knowledge, Information and Creativity Support Systems: Recent Trends, Advances and Solutions. Advances in Intelligent Systems and Computing, vol 364. Springer, Cham. https://doi.org/10.1007/978-3-319-19090-7_3

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  • DOI: https://doi.org/10.1007/978-3-319-19090-7_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19089-1

  • Online ISBN: 978-3-319-19090-7

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