Public Opinion Communication Model under the Control of Official Information

Abstract

The rapid development of Internet technology has facilitated the dissemination of information that can threaten national security and public health, and effectively controlling the process of public opinion communication is an important topic in contemporary social network research. This paper establishes an official information-controlled public opinion propagation (OI-SEIR) model based on the delay, latency, and conversion of public opinion communication under the control of official information. According to the influence and importance of the network nodes, we theoretically derive the attitude conversion probability of the nodes, making the model more in line with the actual situation. Through actual cases, we analyzed the important influence of official information on the public opinion communication process and provided a theoretical basis for the government and relevant departments to supervise and correctly guide the public opinion network, which has certain practical significance.