期刊
KNOWLEDGE-BASED SYSTEMS
卷 227, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.knosys.2021.107198
关键词
Complex networks; Influential nodes; Gravity model; K-shell
资金
- National Natural Science Foundation of China [62003280]
This study introduces an improved gravity centrality measure KSGC based on the k-shell algorithm, which can effectively evaluate the importance of nodes in complex networks.
To find the important nodes in complex networks is a fundamental issue. A number of methods have been recently proposed to address this problem but most previous studies have the limitations, and few of them considering both local and global information of the network. The location of node, which is a significant property of a node in the network, is seldom considered in identifying the importance of nodes before. To address this issue, we propose an improved gravity centrality measure on the basis of the k-shell algorithm named KSGC to identify influential nodes in the complex networks. Our method takes the location of nodes into consideration, which is more reasonable compared to original gravity centrality measure. Several experiments on real-world networks are conducted to show that our method can effectively evaluate the importance of nodes in complex networks. (C) 2021 Elsevier B.V. All rights reserved.
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