Coevolution modeling of group behavior and opinion based on public opinion perception

舆论 共同进化 计算机科学 感知 群体决策 构造(python库) 人气 社会心理学 心理学 生态学 法学 政治学 生物 政治 神经科学 程序设计语言
作者
Weimin Li,Chang Guo,Zhibin Deng,Fangfang Liu,Jianjia Wang,Ruiqiang Guo,Can Wang,Qun Jin
出处
期刊:Knowledge Based Systems [Elsevier]
卷期号:270: 110547-110547 被引量:16
标识
DOI:10.1016/j.knosys.2023.110547
摘要

It is important to study the evolution mechanism of group behavior for the prevention and control of harmful group behavior on social networks. Most researchers focus on the study of group behavior evolution in a deterministic environment, ignoring the influence of the uncertain environment formed by the randomness of behavioral decision-making, the incompleteness of public opinion information, and the instability of behavioral states. Therefore, this paper starts with the behavior decision-making process of individuals in an uncertain environment, defines the perception of public opinion, and builds a coevolution model of group behavior and opinion. First, considering the impact of public opinion information on group behavior evolution, this paper defines emotional resonance and topic popularity to quantify public opinion perception and designs an uncertain behavior decision-making model based on public opinion perception. Then, for the influence of the instability of the behavioral state on the opinion evolution process, this paper designs an opinion evolution model for perception based on the unstable behavioral state. Finally, we design the behavior state evolution mechanism based on the instability of the behavior state and fuse it with the behavior decision-making model and opinion evolution model to construct a coevolution model of group behavior and opinion. Compared with the experimental results of other models and real group behavior evolution, our model is effective.
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