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Multi-index algorithm of identifying important nodes in complex networks based on linear discriminant analysis

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成果类型:
期刊论文
作者:
Hu, Fang;Liu, Yuhua*
通讯作者:
Liu, Yuhua
作者机构:
[Hu, Fang; Liu, Yuhua] Cent China Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
[Hu, Fang] Hubei Univ Chinese Med, Coll Informat Engn, Wuhan 430065, Peoples R China.
通讯机构:
[Liu, Yuhua] C
Cent China Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Complex network;node importance;multi-index evaluation;linear discriminant analysis
期刊:
Modern Physics Letters B
ISSN:
0217-9849
年:
2015
卷:
29
期:
3
页码:
1450268
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
The evaluation of node importance has great significance to complex network, so it is important to seek and protect important nodes to ensure the security and stability of the entire network. At present, most evaluation algorithms of node importance adopt the single-index methods, which are incomplete and limited, and cannot fully reflect the complex situation of network. In this paper, after synthesizing multi-index factors of node importance, including eigenvector centrality, betweenness centrality, closeness centrality, degree centrality, mutual-information, etc., the authors are proposing ...

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