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- W2912241019 abstract "In this paper, we propose an efficient overlapping community detection method using a seed set expansion approach. In particular, we make an original use of a particular concept of graph theory, called chordal graph, to discover densely connected structures in social interactions based on maximal cliques. Indeed, a chordal graph possesses a number of interesting and useful properties that can help us to efficiently recover all maximal cliques of a given graph. Then, we develop new seeding strategies based on different fitness functions for discovering meaningful communities. Experimental results demonstrate the effectiveness and the efficiency of our overlapping community model in a variety of real graphs." @default.
- W2912241019 created "2019-02-21" @default.
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- W2912241019 date "2018-12-01" @default.
- W2912241019 modified "2023-10-12" @default.
- W2912241019 title "Detecting Highly Overlapping Community Structure by Model-based Maximal Clique Expansion" @default.
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- W2912241019 doi "https://doi.org/10.1109/bigdata.2018.8621868" @default.
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