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Information Dissemination Model Used in Online Social Networks Based on Hypergraphs |
Shen Wang, Shi Qianru, Wang Junyao, Li He, Liang Shihao |
School of Business and Management, Jilin University, Changchun 130012 |
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Abstract This study describes a network topology with hypergraphs based on pairwise friendship and virtual community friendship in online social networks. To improve the susceptible-infected-removal (SIR) information dissemination model, the individual states are defined after analyzing users’ forwarding and commenting behaviors, and the individual state transition rules are defined based on the social impact theory. The hypergraph network topology and the improved SIR model constitute the proposed network information dissemination model. The NetLogo software is adopted to simulate the proposed model and analyze the influence of the model parameters, such as the community structure. The simulation results show that the network structure based on hypergraphs fits well with the network structure of the virtual community. Moreover, the community structure, social network activeness, and information obsolescence speed have significant effects on the information dissemination process.
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Received: 18 February 2022
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