Identifying vital nodes from local and global perspectives in complex networks

作者：

Highlights：

• A novel LGC method is proposed to identify influential nodes in complex networks.

• The proposed LGC considers both local and global topological aspects of a network.

• Six different types of real-world networks are employed to verify its efficiency.

• Experimental results have shown that the proposed LGC outperforms other measures.

摘要

•A novel LGC method is proposed to identify influential nodes in complex networks.•The proposed LGC considers both local and global topological aspects of a network.•Six different types of real-world networks are employed to verify its efficiency.•Experimental results have shown that the proposed LGC outperforms other measures.

论文关键词：Vital nodes,Global and local information,Complex networks

论文评审过程：Received 9 April 2021, Revised 14 August 2021, Accepted 14 August 2021, Available online 28 August 2021, Version of Record 3 September 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115778