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Aiming at the current problems of community detection algorithm in which user's properties are not used; the community structure is not stable and the efficiency of the algorithm is low, this paper proposes a community detection algorithm based on the user influence. In terms of the concept of user influence in the subject communication and the PageRank algorithm, this paper uses the properties of nodes of users in social networks to form the user influence factor. Then, the user with thedoi:10.12928/telkomnika.v14i2.2685 fatcat:6gzc6ttl2vck7mck4worfqzz6u