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- W2994303847 abstract "Along with the creation and exchange of a large amount of user content, large-scale interactive data and complex user relationships have emerged in the social network platform, which has attracted more and more researchers' attention. However, the existing research on relationship strength is mostly from user feature attributes. Similarity and social mobility are carried out, ignoring the influence of network structure on relationship strength, and does not consider the directionality and habitual problems of social power. Based on this, this paper proposes an asymmetric social network user relationship strength calculation. Method, the error method combines the user feature attribute similarity, the network structure connection strength, the social interaction strength three dimensions to comprehensively calculate the user relationship. When calculating the network topology connection strength, not only considers the number of neighbor nodes between users, but also considers The directionality and habituation of the social interaction force of the neighbor nodes will affect the user's perception of the relationship strength. Therefore, this paper calculates the contribution weight of different social forces, and finds the user's social strength from the interaction. The proposed method of asymmetric user relationship strength can Research findings and information dissemination mechanism microblogging opinion leaders in customer relationship strength forecast accuracy helps." @default.
- W2994303847 created "2019-12-13" @default.
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- W2994303847 date "2019-12-05" @default.
- W2994303847 modified "2023-09-23" @default.
- W2994303847 title "Asymmetric user relationship strength calculation integrated into network structure and social habits" @default.
- W2994303847 doi "https://doi.org/10.23977/jeleic.2019.11001" @default.
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