Research on SnCIR multi-opinion competitive communication model

Abstract

The traditional public opinion dissemination model studies the dissemination of single opinion public opinion, while manual processing limits the division of multiple opinions, reducing the efficiency of public opinion dissemination. Therefore, combined with the topic recognition model, the SnCIR multi-opinion public opinion competition propagation model is constructed. The comparative experiment on the ca-GrQc dataset shows that the SnCIR model has a lower propagation density than the SCIR, SEIR and SIR models before the public opinion spreads stably. At the inflection point, SnCIR is 0.02 smaller than the SCIR model propagation density, 0.04 smaller than SEIR, and 0.65 smaller than SIR. Through the guidance of mainstream and official media, the management of the Weibo platform, and the government’s supervision, this paper studies the impact on the dissemination of network public opinion. Combined with the analysis of the evolution characteristics of the network public opinion situation, some countermeasures and suggestions are given, which provide management ideas for the response and governance of network public opinion in emergencies.