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Group Polarization and Non-positive Social Influence: A Revised Voter Model Study

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Brain Informatics (BI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6889))

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Abstract

In this paper, we analyze how the non-positive social influence affects group polarization by adding influence factor into the classic voter model. Through model simulation, we observe that a group would self-organize into two-polarization pattern, under no imposing intervention, which is entirely different from the result of drift to an extreme polarization dominant state in the classic voter model.

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Author information

Authors and Affiliations

  1. Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, P.R. China

    Zhenpeng Li & Xijin Tang

Authors
  1. Zhenpeng Li
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  2. Xijin Tang
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Editor information

Editors and Affiliations

  1. School of Information Science and Engineering, Feiyun Lou Building, Lanzhou University, Tianshui South Road 222, 730000, Lanzhou, Gansu, China

    Bin Hu

  2. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR

    Jiming Liu

  3. Chinese Academy of Sciences, Institute of Biophysics, 15 Datun Road, Chaoyng District, 100101, Beijing, China

    Lin Chen

  4. Department of Life Science and Informatics, Maebashi Institute of Technology, 460-1 Kamisadori-Cho, 371.0816, Maebashi-City, Japan

    Ning Zhong

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Li, Z., Tang, X. (2011). Group Polarization and Non-positive Social Influence: A Revised Voter Model Study. In: Hu, B., Liu, J., Chen, L., Zhong, N. (eds) Brain Informatics. BI 2011. Lecture Notes in Computer Science(), vol 6889. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23605-1_30

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  • DOI: https://doi.org/10.1007/978-3-642-23605-1_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23604-4

  • Online ISBN: 978-3-642-23605-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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