空军工程大学学报2024，Vol.25Issue(4)：72-78,7.DOI:10.3969/j.issn.2097-1915.2024.04.011
基于二项熵和邻域节点间范德华力的关键节点识别方法
A Key Node Identification Method Based on Binomial Entropy and Van der Waals Forces between Neighboring Nodes
摘要
Abstract
Ranking importance in nodes is a commonly used analysis method for identifying key nodes in complex networks,and importance of analyzing nodes in the network is a great help to a deeper under-standing network characteristics.In order to further improve the accuracy of node evaluation based on ex-isting methods,this paper introduces the concept of Binomial Entropy to quantify the importance of nodes in the network,measures the mutual influence between nodes through neighborhood similarity,and simul-taneously uses Van der Waals force to abstract the interaction between nodes.Therefore,a key node iden-tification method based on binomial entropy and Van der Waals force between neighboring nodes is pro-posed.This method is a comprehensive consideration of the local and global characteristics of nodes from the overall information flow of the network and the location and interaction relationship between adjacent nodes,and a selection from three similar algorithms to verify the performance through three evaluation in-dicators.The experimental results show that the algorithm in this paper is good in performance in judging important nodes.关键词
复杂网络/二项熵/邻域拓扑/范德华力/节点识别Key words
complex networks/binomial entropy/neighborhood topology/Van der Waals forces/node identification分类
信息技术与安全科学引用本文复制引用
梁威,孙鹏,张杰勇,肖越文..基于二项熵和邻域节点间范德华力的关键节点识别方法[J].空军工程大学学报,2024,25(4):72-78,7.基金项目
陕西省自然科学基础研究计划(2023-JC-QN-0728) （2023-JC-QN-0728）
