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Overlapping communities are pervasive in real-world networks. Therefore overlapping community detection is an important task for mining the structure and function of complex networks. Recently, many overlapping detection methods are proposed. Though achieving different goals, how to improve the performances of the community detection algorithms is still an open problem. In this paper, we propose a...
Community detection and tracking in social network is an important research area for many applications which are widely applied in complex systems. Recently there has been a surge of investigation in this area, fueled largely by interest in social networks, but also by interest in bibliographic citations and telecommunication records. However, due to the computational cost of the traditional algorithm...
An interesting property of network is that the information is not only contained in the entities, but also in the links between them. As the structure of the co-authorship network can greatly influence its function and reflect how the internal information is exchanged. We attempt to get deep insight of the features in a co-authorship network at a university. This is done by the following two steps...
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