基于双层微信网络的舆情传播模型研究

Research on Public Opinion Transmission Model Based on Double Layer WeChat Network

文章在传染病动力学SIR模型的基础上,将感染人群划分为从用户好友之间接触获取舆情信息和从阅读微信公众号获取两大类人群,模拟出基于公众号和朋友圈的双层微信拓扑结构,并利用微信网络的信息互动模式对感染率进行改进,最后对此模型进行了简单的因素分析。结果表明,双层微信网络舆情传播模型的变化符合实际生活中微信网络舆情的传播变化。

Based on the SIR model of infectious disease dynamics, this paper divides the infected population into two categories: those who obtain public opinion information from contacts between user friends, and those who obtain public opinion information from reading WeChat official accounts, simulates a two-layer WeChat topology based on public account and circle of friends,and uses WeChat network information interaction model to improve the infection rate. Finally, the paper carries out a simple factor analysis of this model. The results show that the change of double-layer WeChat network public opinion communication model is consistent with the change of WeChat network public opinion communication in real life.