Model of Negative Emotional Information Communication among Netizens under Corporate Negative Events

Abstract

Corporate negative events have been frequently exposed in the information age. Research on the dissemination mechanism of negative emotional information for netizens contributes corporates to monitor public opinion trends and resolve public opinion crises. Combining emotional infection theory and the classic infectious disease model, we first divided emotional communication stage into individual and group propagation stages and constructed the SEI1I2R model of negative emotional information communication among netizens under corporate negative events. Then, we performed the model analysis and simulation. Results indicated that trust and communication conversion rates are in direct proportion to negative emotional diffusion speed; corporate response rate is inversely proportional to negative emotional diffusion speed; however, the effects of self-regulation are insignificant.

Dynamic analysis and optimal control of a stochastic investor sentiment contagion model considering sentiments isolation with random parametric perturbations

“…Therefore, scholars usually study investor sentiment contagion based on classical models of infectious diseases and information transmission, such as the SI model 5 , the SIS model 6 , and the ILSR model 7 . Subsequently, a series of models were successively put forward, including the SIR sentiment contagion model with an interactive mechanism 8 , the sentiment contagion model with different group characteristics 9 , the sentiment contagion model with media report effect 10 , and the sentiment contagion model with dynamic multiple mechanisms 11 .…”