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	The node importance in actual complex networks based on a multi-attribute ranking method
	Liu, Zhonghua1; Jiang, Cheng1; Wang, Juyun2; Yu, Hua1
刊名	Knowledge-based systems
	2015-08-01
卷号	84页码:56-66
关键词	Complex network Improved k-shell Node importance Multi-attribute ranking method
ISSN号	0950-7051
DOI	10.1016/j.knosys.2015.03.026
通讯作者	Yu, hua(yuh@ucas.ac.cn)
英文摘要	This paper addresses the problem of evaluating the node importance in actual complex networks. firstly, the indicators used to evaluate the node importance are defined based on complex network theory, and their characteristics are analyzed in detail. besides, a new indicator is put forward on the basis of k-shell decomposition, named improved k-shell. secondly, in order to evaluate the node importance comprehensively, a multi-attribute ranking method is proposed based on the technique for order preference by similarity to ideal object (topsis). finally, our method is used to study two actual cases. results show that, our method outperforms other methods in distinguishing the node importance of actual complex networks and can provide scientific decision support for the administration department. (c) 2015 elsevier b.v. all rights reserved.
WOS关键词	FUZZY TOPSIS ; ATTACK TOLERANCE ; ERROR ; MODEL
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000356119700006
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2376726
专题	中国科学院大学
通讯作者	Yu, Hua
作者单位	1.Univ Chinese Acad Sci, Coll Engn & Informat Technol, Beijing 100049, Peoples R China 2.Commun Univ China, Sch Sci, Beijing 100024, Peoples R China
推荐引用方式 GB/T 7714	Liu, Zhonghua,Jiang, Cheng,Wang, Juyun,et al. The node importance in actual complex networks based on a multi-attribute ranking method[J]. Knowledge-based systems,2015,84:56-66.
APA	Liu, Zhonghua,Jiang, Cheng,Wang, Juyun,&Yu, Hua.(2015).The node importance in actual complex networks based on a multi-attribute ranking method.Knowledge-based systems,84,56-66.
MLA	Liu, Zhonghua,et al."The node importance in actual complex networks based on a multi-attribute ranking method".Knowledge-based systems 84(2015):56-66.

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