Weighted kshell degree neighborhood: A new method for identifying the influential spreaders from a variety of complex network connectivity structures
作者：
Highlights：
• A single ranking method will not yield best performance for all varieties of network.
• It is a difficult task to measure the percentage completeness of a network structure.
• We propose a new ranking method “Weighted kshell degree neighborhood method”.
• The proposed method is applicable to different varieties and large-scale networks.
摘要
•A single ranking method will not yield best performance for all varieties of network.•It is a difficult task to measure the percentage completeness of a network structure.•We propose a new ranking method “Weighted kshell degree neighborhood method”.•The proposed method is applicable to different varieties and large-scale networks.
论文关键词：Complex network,Influential spreaders,Spreading ability,Weighted kshell degree neighborhood method,SIR epidemic model
论文评审过程：Received 6 September 2018, Revised 4 July 2019, Accepted 1 August 2019, Available online 2 August 2019, Version of Record 7 August 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.112859
