Spreading behavior of SIS model with non-uniform transmission on scale-free networks  

作　　者：XIA Cheng-yi LIU Zhong-xin CHEN Zeng-qiang YUAN Zhu-zhi 

机构地区：[1]Department of Automation, Nankai University, Tianjin 300071, China [2]Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Teclmology, Tianjin 300191, China

出　　处：《The Journal of China Universities of Posts and Telecommunications》2009年第1期27-31,共5页中国邮电高校学报（英文版）

基　　金：supported by the National Natural Science Foundation of China (60574036, 60774088);the Research Fund for the Doctoral Program of China (20050055013);the Program for New Century Excellent Talents in University of China (NCET);Tianjin Municipal Natural Science Foundation (08JCZDJC21900,08ZCKFGX00600, 08JCYBJC12300);Tianjin Municipal Research Foundation for the Universities (20071306).

摘　　要：The non-uniform transmission and network topological structure are combined to investigate the spreading behavior of susceptible-infected-susceptible （SIS） epidemic model. Based on the mean-field theory, the analytical and numerical results indicate that the epidemic threshold is correlated with the topology of underlying networks, as well as the disease transmission mechanism. These discoveries can greatly help us to further understand the virus propagation on communication networks.The non-uniform transmission and network topological structure are combined to investigate the spreading behavior of susceptible-infected-susceptible （SIS） epidemic model. Based on the mean-field theory, the analytical and numerical results indicate that the epidemic threshold is correlated with the topology of underlying networks, as well as the disease transmission mechanism. These discoveries can greatly help us to further understand the virus propagation on communication networks.

关 键 词：spreading behavior SIS non-uniform transmission scale-free networks virus propagation 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术] O175.1[自动化与计算机技术—计算机科学与技术]