多因素的网络舆情逆转建模分析

Modeling Analysis of Multi-Factor Network Public Opinion Reversal

网络舆情逆转现象时有发生,对具有逆转特征的舆情现象进行建模分析,有助于监督和引导网络舆论。本文基于Deffuant-Weisbuch观点交互模型以及传染病模型,引入信息质量、信息传播率、逆转信息发布时间等多个维度的舆情逆转影响因素,构建了网络舆情逆转模型。仿真实验结果表明,信息质量越好,传播该信息且表明支持态度的用户数量越多;信息质量和传播率越高,逆转信息发布的时间越早,网络舆情逆转的程度越大。

The phenomenon of network public opinion reversal occurs occasionally.Modeling and analyzing the phenomenon of public opinion with reversal characteristics is helpful to supervise and guide network public opinion.Based on the Deffuant-Weisbuch interaction model and the infectious disease model, the influencing factors of public opinion reversal in multiple dimensions such as information quality, information dissemination rate and reversal information release time are introduced, and a reversal model of network public opinion is constructed in this article.The simulation results show that the higher the quality of information, the more the number of users who spread the information and express their supportive attitude.The higher the information quality and dissemination rate, the earlier the reverse information is released, and the greater degree of reversal of network public opinion.