Double-Layer Network Negative Public Opinion Information Propagation Modeling Based on Continuous-Time Markov Chain

Abstract

In view of the fact that the existing public opinion propagation aspects are mostly based on single-layer propagation network, these works rarely consider the double-layer network structure and the negative opinion evolution. This paper proposes a new susceptible-infected-vaccinated-susceptible negative opinion information propagation model with preventive vaccination by constructing double-layer network topology. Firstly, the continuous-time Markov chain is used to simulate the negative public opinion information propagation process and the nonlinear dynamic equation of the model is derived; secondly, the steady state condition of the virus propagation in the model is proposed and mathematically proved; finally, Monte Carlo method is applied in the proposed model. The parameters of simulation model have an effect on negative public opinion information propagation, the derivation results are verified by computer simulation. The simulation results show that the proposed model has a larger threshold of public opinion information propagation and has more effective control of the scale of negative public opinion; it also can reduce the density of negative public opinion information propagation and suppress negative public opinion information compared with the traditional susceptible infected susceptible model. It also can provide the scientific method and research approach based on probability statistics for the study of negative public opinion information propagation in complex networks.

AI-Based Secure Undergraduates’ Ideological and Political Public Opinion Strategy

“…In [20], the authors proposed a novel block chain-based social network public opinion propagation model to stop the propagation of false public opinion. In [21], a novel susceptible-infected-vaccinatedsusceptible negative opinion information propagation model with preventive vaccination by constructing a twolayer network topology was proposed. In [22], the authors designed a network model of public opinion propagation to accurately guide users to accept correct guidance.…”

[Retracted] Forecast and Simulation of the Public Opinion on the Public Policy Based on the Markov Model

“…Internet public opinion (IPO) refers to the sum of emotions, attitudes, and opinions expressed by individuals or various social groups and organizations on various public things that care about themselves or are closely related to their own interests through online channels [1]. Internet public opinion is the mapping of the social network public opinion in the internet space, and it is a direct reflection of the social network public opinion.…”

A Network Public Opinion Trend Estimation Model Using a Scale-Free Network Algorithm

“…Schober et al built a network public opinion model algorithm based on a small-world network and adopted a quantitative analysis method and found that two indicators, power spectrum entropy and dynamic characteristics, can quantitatively study the emergent behavior of network public opinion [13]. Liu et al introduced a scale-free network with variable clustering coefficients to study public opinion propagation [14]. Ai et al constructed a public opinion evolution dynamics model based on a scale-free network and further used computer model simulation to obtain the evolution results of the model [15].…”