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• W2052640827 abstract "In complex networks such as computer and information networks, social networks or biological networks a community structure is a common and important property. Community detection in complex networks has attracted a lot of attention in recent years. Community detection is the problem of finding closely related groups within a network. Modularity optimisation is a widely accepted method for community detection. It has been shown that the modularity optimisation has a resolution limit because it is unable to detect communities with sizes smaller than a certain number of vertices defined with network size. In this paper we propose a metric for describing community structures that enables community detection better than other metrics. We present a fast local expansion algorithm for community detection. The proposed algorithm provides online multiresolution community detection from a source vertex. Experimental results show that the proposed algorithm is efficient in both real-world and synthetic networks." @default.
• W2052640827 created "2016-06-24" @default.
• W2052640827 creator A5008666972 @default.
• W2052640827 creator A5024972039 @default.
• W2052640827 date "2014-08-01" @default.
• W2052640827 modified "2023-09-27" @default.
• W2052640827 title "A local multiresolution algorithm for detecting communities of unbalanced structures" @default.
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• W2052640827 doi "https://doi.org/10.1016/j.physa.2014.03.059" @default.
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