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Evolution and Spread of Public Opinion in Structured Multi-agent Systems

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Proceedings of 2016 Chinese Intelligent Systems Conference (CISC 2016)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 404))

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Abstract

This paper investigates the evolution and spread of public opinion by the aid of evolutionary game theory. Moreover, we employ the complex networks to model the interactions between the members of the multi-agent systems. For one specific opinion, we assume that three roles exist in the population: supporter, objector, and neutral. And, the supports and objectors will try to persuade the neural to adopt their strategies, in the form of game theory. The supports and objectors will make strategy updating according to the payoff-based updating rules. The findings on complex networks (BA scale-free networks) reveal that the initial distribution of the opinions and the adoption probability of the neutral players would be two important factors for the spread and evolution of opinions.

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Author information

Authors and Affiliations

  1. Department of Automation, College of Computer and Control Engineering, Nankai University, Tianjin, 300071, China

    Qiaoyu Li, Chunyan Zhang & Zengqiang Chen

  2. Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin, 300071, China

    Qiaoyu Li, Chunyan Zhang & Zengqiang Chen

Authors
  1. Qiaoyu Li
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  2. Chunyan Zhang
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  3. Zengqiang Chen
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Corresponding author

Correspondence to Chunyan Zhang .

Editor information

Editors and Affiliations

  1. Beihang University , Beijing, China

    Yingmin Jia

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Junping Du

  3. University of Science and Technology Beijing, Beijing, China

    Weicun Zhang

  4. Tsinghua University , Beijing, China

    Hongbo Li

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© 2016 Springer Science+Business Media Singapore

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Li, Q., Zhang, C., Chen, Z. (2016). Evolution and Spread of Public Opinion in Structured Multi-agent Systems. In: Jia, Y., Du, J., Zhang, W., Li, H. (eds) Proceedings of 2016 Chinese Intelligent Systems Conference. CISC 2016. Lecture Notes in Electrical Engineering, vol 404. Springer, Singapore. https://doi.org/10.1007/978-981-10-2338-5_52

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  • DOI: https://doi.org/10.1007/978-981-10-2338-5_52

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2337-8

  • Online ISBN: 978-981-10-2338-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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