Epidemic spreading behavior in local-world evolving networks  

作　　者：Chengyi Xia Zhongxin Liu Zengqiang Chen Shiwen Sun Zhuzhi Yuan 

机构地区：[1]Department of Automation, Nankai University, Tianjin 300071, China [2]School of Computer Science and Technology, Tianjin University of Technology, Tianjin 300191, China

出　　处：《Progress in Natural Science:Materials International》2008年第6期763-768,共6页自然科学进展·国际材料（英文版）

基　　金：the National Natural Science Foundation of China（Grant Nos.60774088 and 60574036）;the Research Fund for the Doctoral Program of China（Grant No.20050055013）;the Program for New Century Excellent Talents in University of China NCET）;the Science and Technology Research Key Project of Education Ministry of China（Grant No.107024）.

摘　　要：The susceptible-infected-susceptible （SIS） epidemic model is presented which can be used to study the epidemic spreading behavior in the local-world evolving network model. Local-world evolving model displays a transition from the exponential network to the scale-free network with respect to the connectivity distribution. From theoretical analyses and numerical simulations, we find that the epidemic spreading behavior on local-world networks also takes on some kind of transitional behaviors. The transitional behavior is further verified by comparing the spreading behavior of local-world network with that of random and scale-free networks. Some feasible control strategies are also orooosed to keeo from the eoidemic spreading on networks.The susceptible-infected-susceptible(SIS)epidemic model is presented which can be used to study the epidemic spreading behavior in the local-world evolving network model.Local-world evolving model displays a transition from the exponential network to the scale-free network with respect to the connectivity distribution.From theoretical analyses and numerical simulations,we find that the epidemic spreading behavior on local-world networks also takes on some kind of transitional behaviors.The transitional behavior is further ver-ified by comparing the spreading behavior of local-world network with that of random and scale-free networks.Some feasible control strategies are also proposed to keep from the epidemic spreading on networks.

关 键 词：Epidemic spreading Local-world model Complex networks Dynamics of systems 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]