Epidemic spreading in scale-free networks including the effect of individual vigilance  

作　　者：Gong Yong-Wang Song Yu-Rong Jiang Guo-Ping 巩永旺;宋玉蓉;蒋国平(College of Computer,Nanjing University of Posts and Telecommunications,Nanjing 210003 China;School of Information Engineering,Yancheng Institute of Technology,Yancheng 224051,China;College of Automation,Nanjing University of Posts and Telecommunications,Nanjing 210003 China)

机构地区：[1]College of Computer,Nanjing University of Posts and Telecommunications,Nanjing 210003 China [2]School of Information Engineering,Yancheng Institute of Technology,Yancheng 224051,China [3]College of Automation,Nanjing University of Posts and Telecommunications,Nanjing 210003 China

出　　处：《Chinese Physics B》2012年第1期41-45,共5页中国物理B（英文版）

基　　金：Project supported by the National Natural Science Foundation of China(Grant No.60874091);the Six Projects Sponsoring Talent Summits of Jiangsu Province,China(Grant No.SJ209006);the Natural Science Foundation of Jiangsu Province,China(Grant No.BK2010526);the Graduate Student Innovation Research Project of Jiangsu Province,China(Grant No.CXLX110417)

摘　　要：In this paper, we study the epidemic spreading in scale-flee networks and propose a new susceptible-infected- recovered （SIR） model that includes the effect of individual vigilance. In our model, the effective spreading rate is dynamically adjusted with the time evolution at the vigilance period. Using the mean-field theory, an analytical result is derived. It shows that individual vigilance has no effect on the epidemic threshold. The numerical simulations agree well with the analytical result. Purthermore, we investigate the effect of individual vigilance on the epidemic spreading speed. It is shown that individual vigilance can slow the epidemic spreading speed effectively and delay the arrival of peak epidemic infection.In this paper, we study the epidemic spreading in scale-flee networks and propose a new susceptible-infected- recovered （SIR） model that includes the effect of individual vigilance. In our model, the effective spreading rate is dynamically adjusted with the time evolution at the vigilance period. Using the mean-field theory, an analytical result is derived. It shows that individual vigilance has no effect on the epidemic threshold. The numerical simulations agree well with the analytical result. Purthermore, we investigate the effect of individual vigilance on the epidemic spreading speed. It is shown that individual vigilance can slow the epidemic spreading speed effectively and delay the arrival of peak epidemic infection.

关 键 词：scale-free network susceptible-infected-recovered model individual vigilance epidemicthreshold 

分 类 号：R512.91[医药卫生—内科学]