Construction and Verification of Network Public Emotion Entropy Flow Model

Abstract

This paper introduces the self-organization theory and entropy flow theory into the study of network public emotions. By using the literature research method and case analysis method, based on the analysis of the self-organization evolution characteristics of network public emotions, this paper proposes that positive entropy as a “disaster-causing factor” will lead to emotional contradictions and conflicts. As a 'stability factor', negative entropy can offset the negative effect of positive entropy and keep the network public emotion stable. Based on this, the dissipative structure theory in self-organization theory is used to establish the emotional entropy model composed of positive and negative entropy flow variables. According to the logic of positive entropy and negative entropy game, the state evolution model of network public emotion system in negative and positive public opinion events is constructed. This paper further selects the 'Jiangsu Xiangshui explosion' as a negative public opinion event to verify the model. The results show that the event is basically consistent with the entropy flow model of the negative public opinion event constructed in this paper, which proves that the emotional entropy flow model constructed in this paper has good applicability and effectiveness.