Abstract

In recent years, more and more studies on the strength of interpersonal relationship show that there are some positive social connections in online social networks. In addition, in the process of information dissemination, there may be some key nodes. In order to determine the key nodes of online social networks, we propose a method of edge weight recognition based on historical interaction records. According to the forwarding quantity, the influence of nodes is quantified, and the top node is selected as the key node. We apply our method to a real network and get good results.

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