Modeling and simulation analysis of public opinion polarization in a dynamic network environment

Abstract

Summary At present, there are many group incidents on the Internet, which has caused a high level of public opinion. Hot issues on the Internet can often trigger intense discussions among netizens and finally evolve toward bipolarization or multipolarization. This article focuses on the phenomenon of public opinion polarization under the dynamic network. First, the single‐dimensional evaluation system for the JA model was expanded to multidimensional and analyzes the main factors that cause the polarization of public opinion of network groups from multiple dimensions of hot events. Second, the strength of the relationship between individuals and its dynamic changes were taken into account in the model. The strength of the relationship between individuals and its changes will affect the interaction of opinions, and thus affect the degree and speed of group polarization. Third, combining the changing process of the strength of relationship, the dynamic connection mechanism of network nodes was set to make the network structure more consistent with the social network in real life. Finally, we verify the reliability and scientificity of the model by combining practical cases.

Research on two-stage public opinion evolution configuration path based on fuzzy-set qualitative comparative analysis

“…Starting from the internal factors of the evolution of public opinion, based on the strength of the relationship between Internet users and the dynamic connection mechanism of network nodes, Yuan et al (2020) found that the strength and change of the relationship between Internet users will affect the interaction of opinions, and then affect the degree and speed of group polarization. Combining factors such as personal expression intention and personal expression ability, Fu et al (2020) discussed the formation and evolution process of online public opinion, and constructed an evolution model of online public opinion taking into account personal emotion.…”

“…Starting from the internal factors of the evolution of public opinion , based on the strength of the relationship between Internet users and the dynamic connection mechanism of network nodes, Yuan et al . (2020) found that the strength and change of the relationship between Internet users will affect the interaction of opinions, and then affect the degree and speed of group polarization.…”

Modeling and Analyzing Information Propagation Evolution Integrating Internal and External Influences

“…Based on this, Yuan et al. incorporated the relationship strength and its dynamic changes between individuals into the JA model, [ 27 ] studying the polarization process of multi‐dimensional opinions under complex networks. Chen et al.…”

“…However, the model did not consider the dynamic changes in network structure. Based on this, Yuan et al incorporated the relationship strength and its dynamic changes between individuals into the JA model, [27] studying the polarization process of multi-dimensional opinions under complex networks. Chen et al established a public opinion polarization model considering individual heterogeneity and dynamic integration based on the JA model, [28] investigating the impact of initial cognitive heterogeneity, individual conformity heterogeneity, and the dynamic integration of individual opinions and mainstream social opinions on the speed and outcome of public opinion polarization.…”