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Community Detection Based on Individual Topics and Network Topology in Social Networks
2020
IEEE Access
Detecting community structures is an important research topic in social network analysis. Unfortunately, the fundamental factors that drive the generation of social networks (i.e., the network topology and content) and community structures have not been well investigated. In this paper, according to the natural characteristics of social networks, we reveal that individual topics play a core role in community generation. If two individuals are in the same community and are interested in similar
doi:10.1109/access.2020.3005935
fatcat:lti7vvx2hfcxfc53ox5rnyqmoi