Detecting overlapping communities by seed community in weighted complex networks

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dc.creatorLi, Junqiu
dc.creatorWang, Xingyuan
dc.creatorEustace, Justine
dc.date2020-11-24T14:24:08Z
dc.date2020-11-24T14:24:08Z
dc.date2013
dc.date.accessioned2022-10-20T13:47:42Z
dc.date.available2022-10-20T13:47:42Z
dc.descriptionAbstract. Full text article available at https://doi.org/10.1016/j.physa.2013.07.066
dc.descriptionDetection of community structures in the weighted complex networks is significant to understand the network structures and analysis of the network properties. We present a unique algorithm to detect overlapping communities in the weighted complex networks with considerable accuracy. For a given weighted network, all the seed communities are first extracted. Then to each seed community, more community members are absorbed using the absorbing degree function. In addition, our algorithm successfully finds common nodes between communities. The experiments using some real-world networks show that the performance of our algorithm is satisfactory.
dc.identifierLi, J., Wang, X., & Eustace, J. (2013). Detecting overlapping communities by seed community in weighted complex networks. Physica A: Statistical Mechanics and its Applications, 392(23), 6125-6134.
dc.identifierDOI:10.1016/j.physa.2013.07.066
dc.identifierhttp://hdl.handle.net/20.500.12661/2595
dc.identifier.urihttp://hdl.handle.net/20.500.12661/2595
dc.languageen
dc.publisherElsevier
dc.subjectSeed community
dc.subjectWeighted networks
dc.subjectOverlapping community
dc.subjectAbsorbing degree
dc.subjectCommunity structures
dc.subjectCommon nodes
dc.subjectCommunity
dc.subjectNetwork
dc.subjectComplex networks
dc.titleDetecting overlapping communities by seed community in weighted complex networks
dc.typeArticle

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