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	Fast Search to Detect Communities by Truncated Inverse Page Rank in Social Networks
	Jiang, Fei ; Yang, Yang ; Jin, Shuyuan ; Xu, Jin
	2015
英文摘要	Personalized PageRank is a useful technique for identifying a community with respect to a given node set. To obtain the overall community structure of the network, personalized PageRank should be executed amounts of times, which is prohibitive in massive networks. In this paper, to avoid useless and repeated computation, we propose a method that detects communities by truncated inverse PageRank. An efficient algorithm for computing the rank score in truncated inverse PageRank is devised. The computation only utilizes local information of the corresponding node. Rank score between local neighbors is regarded as a measure to select initial seed for each community. Inspired by work on seed set expansion, after excluding the nodes that are clearly true negative in seed set candidates, a seed set is initialized. Community expansion with rejudgement ensures that our method can detect community efficiently and precisely. Extensive experiments on different types of networks demonstrate the high performance of our method in terms of time and quality. ? 2015 IEEE.; EI; 239-246
语种	英语
出处	3rd IEEE International Conference on Mobile Services, MS 2015
DOI标识	10.1109/MobServ.2015.42
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/436710]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Jiang, Fei,Yang, Yang,Jin, Shuyuan,et al. Fast Search to Detect Communities by Truncated Inverse Page Rank in Social Networks. 2015-01-01.

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