UHNPR: A competitive opinion information dissemination model for online social hypernetworks

With the rapid development of the internet, the dissemination of public opinion in online social networks has become increasingly complex. Existing dissemination models rarely consider group phenomena and the simultaneous spread of competing public opinion information in online social networks. This paper introduces the UHNPR information dissemination model to study the dynamic spread and interaction of positive and negative public opinion information in hypernetworks. To improve the accuracy of information dissemination modeling, we have revised the traditional assumptions of constant propagation and decay rates by redefining these rates based on factors influencing the spread of public opinion information. Subsequently, we validated the effectiveness of the UHNPR model using numerical simulations and analyzed the impact of factors such as authority effect, user intimacy, information content, and information timeliness on the spread of public opinion, providing corresponding suggestions for public opinion control. Our research results demonstrate that this model outperforms the SIR, SEIR, and SEIDR models in describing public opinion propagation in real social networks. Compared to complex networks, information spreads faster and more extensively in hypernetworks.