4.7 Article

Modeling of the Public Opinion Polarization Process with the Considerations of Individual Heterogeneity and Dynamic Conformity

期刊

MATHEMATICS
卷 7, 期 10, 页码 -

出版社

MDPI
DOI: 10.3390/math7100917

关键词

dynamic conformity; individual heterogeneity; online collective behaviors; public opinion polarization

资金

  1. National Natural Science Fund Project of China [71401156]
  2. Ministry of education of Humanities and Social Science project of China [18YJA630012]
  3. Zhejiang Provincial Natural Science Foundation of China [LY18G010001]
  4. Presidential Incentive Award in the University of North Georgia [1103, 1105]
  5. Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering [2017A08]
  6. Contemporary Business and Trade Research Center of Zhejiang Gongshang University of China [14SMXY05YB]
  7. Center for Collaborative Innovation Studies of Modern Business of Zhejiang Gongshang University of China [14SMXY05YB]

向作者/读者索取更多资源

Nowadays, hot issues are likely become bipolar or multipolar after heated discussion on the Internet. This article is focused on the study of the polarization phenomenon and establishes a public opinion polarization model with the considerations of individual heterogeneity and dynamic conformity. At first, this article introduces the dynamic changing function of an individual's conformity tendency to other's attitudes in the interaction process. It further defines the influential weight between different interactive individuals, and expands the interactive individual from complete homogeneity to initial attitude heterogeneity, and finally, conformity heterogeneity. Then, through simulation experiments, we find that the degree of changing in individual attitude is limited. That is, it is difficult for the individuals who have one directional attitude at the initial time to change into another opposite attitude through interaction. In addition, individuals with low conformity within a certain threshold are more likely to form polarization. Finally, the rationality and effectiveness of the proposed model are verified by the typical case Mimeng Event.

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