期刊
HEALTHCARE
卷 9, 期 2, 页码 -出版社
MDPI
DOI: 10.3390/healthcare9020176
关键词
public opinion dissemination; public opinion polarization; SEIR model; J-A model; individual heterogeneity
资金
- National Social Science Foundation of China [20BTQ059]
- Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering [MECOF2020B03]
- Contemporary Business and Trade Research Center
- Center for Collaborative Innovation Studies of Modern Business of Zhejiang Gongshang University of China [14SMXY05YB]
- First Class Discipline of Zhejiang-A (Zhejiang Gongshang UniversityStatistics)
The article discusses the impact of the widespread dissemination of false information and extreme speeches on social harmony, and proposes a SEIR-JA model to study the mechanism of public opinion dissemination and polarization. By integrating individual characteristics and factors of opinion interaction, this model provides a new research approach to address issues in online public opinion.
The wide dissemination of false information and the frequent occurrence of extreme speeches on online social platforms have become increasingly prominent, which impact on the harmony and stability of society. In order to solve the problems in the dissemination and polarization of public opinion over online social platforms, it is necessary to conduct in-depth research on the formation mechanism of the dissemination and polarization of public opinion. This article appends individual communicating willingness and forgetting effects to the Susceptible-Exposed-Infected-Recovered (SEIR) model to describe individual state transitions; secondly, it introduces three heterogeneous factors describing the characteristics of individual differences in the Jager-Amblard (J-A) model, namely: Individual conformity, individual conservative degree, and inter-individual relationship strength in order to reflect the different roles of individual heterogeneity in the opinions interaction; thirdly, it integrates the improved SEIR model and J-A model to construct the SEIR-JA model to study the formation mechanism of public opinion dissemination and polarization. Transmission parameters and polarization parameters are simulated and analyzed. Finally, a public opinion event from the pricing of China's self-developed COVID-19 vaccine are used, and related Weibo comment data about this event are also collected so as to verify the rationality and effectiveness of the proposed model.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据