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請幫忙查一下論文是否被SCI檢索
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以前發(fā)到別的板塊了,應(yīng)助的蟲子發(fā)給我了PubMed ID和NLM 唯一 ID,告訴我檢索了,我還是不太敢相信啊,應(yīng)該是wos號才代表sci檢索吧,辛苦各位蟲子啦。 題目 Detecting Community Structures in Networks by Label Propagation with Prediction of Percolation Transition 作者 Aiping Zhang, Guang Ren, Yejin Lin, Baozhu Jia, Hui Cao, Jundong Zhang, and Shubin Zhang 期刊 Scientific World Journal 卷期 Volume 2014 (2014), Article ID 148686, 14 pages 如果檢索請告訴我wos號,謝謝。 |
版主 (文學泰斗)
風雪
版主 (文學泰斗)
風雪
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Detecting community structures in networks by label propagation with prediction of percolation transition. 作者:Zhang, Aiping; Ren, Guang; Lin, Yejin; Jia, Baozhu; Cao, Hui; Zhang, Jundong; Zhang, Shubin TheScientificWorldJournal 卷:2014 頁:148686 DOI:10.1155/2014/148686 出版年:2014 (Epub 2014 Jul 07) 摘要 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. 作者信息 地址:College of Marine Engineering, Dalian Maritime University, Dalian 116026, China. 文獻信息 文獻類型:Journal Article 語種:English PubMed ID:25110725 NLM 唯一 ID:101131163 創(chuàng)建日期: 11 Aug 2014 電子出版:07 Jul 2014 國家/地區(qū): United States ISSN:1537-744X 期刊信息 Impact Factor (影響因子): Journal Citation Reports® 備注和修正 其他信息 分主題子庫:Index Medicus 記錄所有者:NLM 狀態(tài):In-Data-Review |
版主 (文壇精英)

木蟲 (正式寫手)
版主 (文壇精英)

木蟲 (正式寫手)
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