Public opinion propagation model based on DI-SCIR in two-layer coupled social networks

Abstract

Network public opinion is the reflection of social public opinion on the internet and an important part of social public opinion. There are various forms of network public opinion, including WeChat, Weibo, Twitter, etc., and the comments and interactions on these multiple platforms constitute the rich content of network public opinion. Real-time understanding of network public opinion propagation helps to grasp public feedback and emotions. When a public opinion crisis occurs, adopting effective control methods can quickly respond to and handle social hot events, avoid misunderstandings and the expansion of contradictions, and help maintain social harmony and stability. To address this problem, we propose a public opinion propagation model based on DI-SCIR for two-layer coupled social network. A strong coupled inter-layer connection method based on LBRank is proposed to establish a practical two-layer coupled social network. Theoretical analysis is conducted on the impact of different factors in the model on public opinion dissemination of coupled social network. A control method of direct immune SCIR is designed, which intervenes with real-time online users during the spreading of public opinion. This can guide public opinion to spread in a favorable direction. The simulation results show that the constructed public opinion propagation model for two-layer social network can better reflect the spreading of public opinion in real life. The public opinion control method can quickly guide and intervene in the spread of public opinion and reduce the impact of negative public opinion.