Q.L. Li , C.R. Li, J.Y. Ma(2020). Online social networks under hypergraph structure and their hidden influence evaluation. Journal of Systems Engineering, Vol. 35, No.1, 130-144.
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This paper sets up a reasonable synthesis among hypergraph structure, probability behavior and
information theory, and applies them to the study of online social networks. This motivates us in this paper to
provide a new mathematical method for analyzing online social networks and their hidden influence. Therefore,
this paper first applies hypergraph theory to set up the information transmission process by means of a hyper-
path between any two users, and describes quantitative relation and flu
information theory, and applies them to the study of online social networks. This motivates us in this paper to
provide a new mathematical method for analyzing online social networks and their hidden influence. Therefore,
this paper first applies hypergraph theory to set up the information transmission process by means of a hyper-
path between any two users, and describes quantitative relation and flu
创建时间：2020-07-29 12:08
