Multi-attribute ranking method for identifying key nodes in complex networks based on GRA | |
Yang, Pingle[1]; Xu, Cuiqiong[2]; Chen, Huiping[3] | |
刊名 | INTERNATIONAL JOURNAL OF MODERN PHYSICS B
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2018 | |
卷号 | 32 |
关键词 | Complex networks key nodes local centrality measure grey relational analysis susceptible-infected-recovered model |
ISSN号 | 0217-9792 |
URL标识 | 查看原文 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/2166841 |
专题 | 上海大学 |
作者单位 | 1.[1]Shanghai Univ, Sch Management, Shanghai 200444, Peoples R China. 2.Jiangsu Univ Sci & Technol, Sch Elect & Informat Engn, Zhangjiagang 215600, Peoples R China. 3.[2]Shanghai Univ, Sch Management, Shanghai 200444, Peoples R China. 4.[3]Shanghai Univ, Sch Management, Shanghai 200444, Peoples R China. |
推荐引用方式 GB/T 7714 | Yang, Pingle[1],Xu, Cuiqiong[2],Chen, Huiping[3]. Multi-attribute ranking method for identifying key nodes in complex networks based on GRA[J]. INTERNATIONAL JOURNAL OF MODERN PHYSICS B,2018,32. |
APA | Yang, Pingle[1],Xu, Cuiqiong[2],&Chen, Huiping[3].(2018).Multi-attribute ranking method for identifying key nodes in complex networks based on GRA.INTERNATIONAL JOURNAL OF MODERN PHYSICS B,32. |
MLA | Yang, Pingle[1],et al."Multi-attribute ranking method for identifying key nodes in complex networks based on GRA".INTERNATIONAL JOURNAL OF MODERN PHYSICS B 32(2018). |
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