UHIR: An effective information dissemination model of online social hypernetworks based on user and information attributes

With the expansion of the number of users in online social networks, the diversity of users and community characteristics become more prominent. Hypernetwork theory provides a path for characterizing complex relationships in networks. This paper used hypergraph's hyperedges to represent the community relationship between users, and created an online social hypernetwork information dissemination model (UHIR model) based on user and information attributes by combining the hypernetwork model with the SEIR model. Through this model, this article simulated and analyzed the dynamic process and laws of information dissemination under different network structures, and studied the influence of user influence, confidence, interest value, and information timeliness of the process. The simulation results show that this model can accurately describe the information dissemination trend and process in the real online social network. This work extends a new research direction of information dissemination in hypernetworks and contributes to the in-depth study of more complex information dissemination mechanisms.

Automated summary

With the expansion of online social networks, the diversity of users and community characteristics has become more prominent. This paper proposes a hypernetwork-based information dissemination model (UHIR model) to simulate and analyze the dynamic process of information dissemination in different network structures. The model takes into account user influence, confidence, interest value, and information timeliness. Simulation results demonstrate that the model accurately describes the information dissemination trend and process in real online social networks. This work extends the research direction of information dissemination in hypernetworks and contributes to the study of complex information dissemination mechanisms.