Effect of observation time on source identification of diffusion in complex networks

作     者：Chaoyi Shi Qi Zhang Tianguang Chu 史朝义;张琦;楚天广

作者机构：College of EngineeringPeking UniversityBeijing 100871China School of Information Technology and ManagementUniversity of International Business and EconomicsBeijing 100105China 

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

年 卷 期：2022年第31卷第7期

页      面：97-103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：the National Natural Science Foundation of China(Grant Nos.61673027 and 62106047) the Beijing Social Science Foundation(Grant No.21GLC042) the Humanity and Social Science Youth foundation of Ministry of Education,China(Grant No.20YJCZH228) 

主　　题：complex network source identification statistical inference partial observation 

摘      要：This paper examines the effect of the observation time on source identification of a discrete-time susceptible-infectedrecovered diffusion process in a network with snapshot of partial *** formulate the source identification problem as a maximum likelihood(ML)estimator and develop a statistical inference method based on Monte Carlo simulation(MCS)to estimate the source location and the initial time of *** results in synthetic networks and real-world networks demonstrate evident impact of the observation time as well as the fraction of the observers on the concerned problem.