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ÌâÄ¿ Detecting Community Structures in Networks by Label Propagation with Prediction of Percolation Transition
×÷Õß  Aiping Zhang, Guang Ren, Yejin Lin, Baozhu Jia, Hui Cao, Jundong Zhang, and Shubin Zhang
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¾íÆÚ Volume 2014 (2014), Article ID 148686, 14 pages
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Detecting community structures in networks by label propagation with prediction of percolation transition.


×÷Õß:Zhang, Aiping; Ren, Guang; Lin, Yejin; Jia, Baozhu; Cao, Hui; Zhang, Jundong; Zhang, Shubin




TheScientificWorldJournal



¾í:2014

Ò³:148686

DOI:10.1155/2014/148686

³ö°æÄê:2014 (Epub 2014 Jul 07)


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Though label propagation algorithm (LPA) is one of the fastest algorithms for community detection in complex networks, the problem of trivial solutions frequently occurring in the algorithm affects its performance. We propose a label propagation algorithm with prediction of percolation transition (LPAp). After analyzing the reason for multiple solutions of LPA, by transforming the process of community detection into network construction process, a trivial solution in label propagation is considered as a giant component in the percolation transition. We add a prediction process of percolation transition in label propagation to delay the occurrence of trivial solutions, which makes small communities easier to be found. We also give an incomplete update condition which considers both neighbor purity and the contribution of small degree vertices to community detection to reduce the computation time of LPAp. Numerical tests are conducted. Experimental results on synthetic networks and real-world networks show that the LPAp is more accurate, more sensitive to small community, and has the ability to identify a single community structure. Moreover, LPAp with the incomplete update process can use less computation time than LPA, nearly without modularity loss.



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µØÖ·:College of Marine Engineering, Dalian Maritime University, Dalian 116026, China.


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ÎÄÏ×ÀàÐÍ:Journal Article

ÓïÖÖ:English

PubMed ID:25110725

NLM Ψһ ID:101131163

´´½¨ÈÕÆÚ: 11 Aug 2014         

µç×Ó³ö°æ:07 Jul 2014

¹ú¼Ò/µØÇø: United States

ISSN:1537-744X


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