Abstract
Currently, China is in the period of social transformation. Such transformation continuously results in high group polarization behaviors, which attracts many attentions. In order to explore the evolutionary mechanism and formation process of group polarization behavior, this paper proposes a group polarization model which is integrated into the Susceptible-Infected-Recovered-Susceptible (SIRS) epidemic model. In this paper, firstly, the SIRS epidemic model and the factors of relationship strength are introduced based on the J-A model (proposed by Jager and Amblard) to enhance the information transmission and interaction among individuals. In addition, the BA network (proposed by Barabasi and Albert) model is used as the agent adjacency model due to its closeness to the real social network structure. After that, the Monte Carlo method is applied to conduct experimental simulation. Subsequently, this paper analyzes the simulation results in threefold: (1) comparison of polarization processes with and without integration of the SIRS epidemic model; (2) adjusting the immune recovery parameter γ and the relationship strength z to explore the role of these two parameters in the polarization process; and (3) comparing the polarization effects of different network structures. Through the experiments, we find that BA network is more polarized than small-world network in the same scale. Finally, corresponding measures are proposed to prevent and mitigate the occurrence of group polarization.
Highlights
China is in the period of social transformation
Results and Discussion is section mainly discusses the following aspects based on the experimental simulation results: (1) it analyzes the influence of SIRS-based information diffusion on the polarization process of group attitudes and verifies the significance of polarization effects with and without integration of the SIRS epidemic model; (2) it explores the relationship between group polarization and individual immunity to information by adjusting the recovery rate parameter c in the SIRS epidemic model; (3) it explores the influence of different relationship strength Z on polarization effect; (4) it investigates the effects of different network structures on polarization
Comparing the Polarization Process with and without Integration of SIRS Epidemic Model. is section explores the impact of the transmission characteristics of epidemic on the group polarization effect, which is achieved by controlling network structure, initial attitude values, and other parameters to remain unchanged, while only changing the way of information interaction among individuals. e model uses epidemic transmission to carry out individual information interaction, as shown in Figure 9(a), and the epidemic model is used to screen out nodes in different state stages
Summary
China is in the period of social transformation. Social mass events take place frequently. e consequent extreme behaviors often cause significant harm and loss to the society and people. Mass events refer to the temporary coupling groups caused by some social contradictions, which are formed by the aggregation of specific groups or unspecified majority people. E opposite opinion stated that Floyd did not follow the officers’ commands and he had a criminal past and previous convictions including a violent criminal history. It can promote people’s thinking and discussion on social issues. E polarization of public opinion may lead to the formation of irrational and violent public emotions and uncontrollable behavior and encourage social prejudice and social division, endangering the social and political stability and even detonating the negative consequences of ethnic warfare.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
