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政大典藏 > College of Commerce > Department of Statistics > Periodical Articles > Item 140.119/111666

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Title:	Power-law distributions of attributes in community detection
Authors:	Wang, Tai-Chi Phoa, Frederick Kin Hing Hsu, Tun-Chieh
Contributors:	統計系
Date:	2015-01
Issue Date:	2017-08-08 16:38:52 (UTC+8)
Abstract:	Community detection has drawn significant attention as new media generates big data every day. To provide statistical testing procedures for community detection in social networks, a scanning method has been developed based on the likelihood of Poisson random graph. However, the scan statistics did not consider detecting communities of the attributes with power-law distribution. Power-law distribution, generally followed by network attributes, is conspicuous in many scientific situations. This paper aims at extending the scanning method to analyze a social network in which attributes follow power-law distribution. Besides the theoretical construction, simulation studies are performed to verify the feasibility of the proposed method, and an authorship network is used to demonstrate the proposed method. © 2015, Springer-Verlag Wien.
Relation:	Social Network Analysis and Mining, 5(1), 1-10
Data Type:	article
DOI link:	http://dx.doi.org/10.1007/s13278-015-0283-z
DOI:	10.1007/s13278-015-0283-z
Appears in Collections:	[Department of Statistics] Periodical Articles

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