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- W4301219 abstract "In a social network, individuals often simultaneously belong to multiple social communities; therefore, the detection of relationships among individuals is very important. However, most of community detection methods only apply a single relationship in dynamic social networks with multi-relationships among individuals. Therefore, this study proposes a CNET Hierarchical Division Algorithm (CHDA) to detect communities efficiently. Experimental results show that the proposed CHDA could detect communities with more precise recognition, regarding their characterization." @default.
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- W4301219 date "2014-01-01" @default.
- W4301219 modified "2023-10-07" @default.
- W4301219 title "Community Identification in Multiple Relationship Social Networks" @default.
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- W4301219 doi "https://doi.org/10.1007/978-3-642-40675-1_90" @default.
- W4301219 hasPublicationYear "2014" @default.
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