A novel method for identifying influential nodes in complex networks based on gravity model

作     者：Yuan Jiang Song-Qing Yang Yu-Wei Yan Tian-Chi Tong Ji-Yang Dai 蒋沅;杨松青;严玉为;童天驰;代冀阳

作者机构：School of Information EngineeringNanchang Hangkong UniversityNanchang 330063China School of AutomationNanjing University of TechnologyNanjing 210094China 

出 版 物：《Chinese Physics B》 (中国物理B（英文版）)

年 卷 期：2022年第31卷第5期

页      面：791-801页

核心收录：

学科分类：07[理学] 070104[理学-应用数学] 0701[理学-数学] 

基　　金：Project supported by the National Natural Science Foundation of China(Grant Nos.61663030 and 61663032) 

主　　题：influential nodes gravity model structural hole K-shell 

摘      要：How to identify influential nodes in complex networks is an essential issue in the study of network characteristics.A number of methods have been proposed to address this problem,but most of them focus on only one *** on the gravity model,a novel method is proposed for identifying influential nodes in terms of the local topology and the global *** method comprehensively examines the structural hole characteristics and K-shell centrality of nodes,replaces the shortest distance with a probabilistically motivated effective distance,and fully considers the influence of nodes and their neighbors from the aspect of *** eight real-world networks from different fields,the monotonicity index,susceptible-infected-recovered(SIR)model,and Kendall’s tau coefficient are used as evaluation criteria to evaluate the performance of the proposed method compared with several existing *** experimental results show that the proposed method is more efficient and accurate in identifying the influence of nodes and can significantly discriminate the influence of different nodes.