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- W2806339747 abstract "In many real-world networks, a node often belongs to multiple communities. Therefore, overlapping community detection is an important task in social network analysis. CDFR is an efficient algorithm recently proposed for non-overlapping community detection. In this paper, CDFR is extended for overlapping community detection, and the extended algorithm is called as OCDFR. In OCDFR, CDFR is first called to obtain a non-overlapping community partition. Then, find the kth NGC (k=1, 2, 3,...) node for each node, and record the fuzzy relations between them. Based on the fuzzy relation between a node and its kth NGC, five decision methods are proposed to determine whether it can join the communities to which its kth NGC belongs. Experimental results on real-world networks and synthetic networks demonstrate that OCDFR is effective and highly competitive." @default.
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- W2806339747 date "2018-04-01" @default.
- W2806339747 modified "2023-09-28" @default.
- W2806339747 title "Extending CDFR for Overlapping Community Detection" @default.
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- W2806339747 doi "https://doi.org/10.1109/icdis.2018.00040" @default.
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