Cross-social-network Interconnection Model Based on Bridge Community

Abstract

As users participate in many online social networks (OSNs), connecting different social networks has become the latest task that researchers are focusing on. The analysis of user behavior needs to mine user information from multiple social networks, obtain more accurate information through association matching to analyze and predict, and improve the attributes of users' multiple social networks. Through the mining and analysis of user information, the interconnection of information dissemination of multiple social networks is realized. This paper firstly sorts the importance of user nodes in multi-social networks, and finds important nodes and secondarily important nodes to form the initial bridge community; then we build bridge user links through similarity matching of the users in the bridge community; finally, we propose cross-social-network interconnection model based on bridge community to enhance the structural interconnection between multiple social networks.