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作 者:张海峰 Small Michael 傅新楚 汪秉宏
机构地区:[1]Department of Modern Physics,University of Science and Technology of China [2]School of Mathematical Science,Anhui University [3]Department of Electronic and Information Engineering,Hong Kong Polytechnic University [4]Department of Mathematics,Shanghai University
出 处:《Chinese Physics B》2009年第9期3639-3646,共8页中国物理B(英文版)
基 金:supported by National Natural Science Foundation of China (Grant Nos 60744003,10635040,10532060 and 10672146);the Specialized Research Fund for the Doctoral Program of Higher Education of China (Grant No 20060358065);National Science Fund for Fostering Talents in Basic Science (Grant No J0630319);A grant from the Health,Welfare and Food Bureau of the Hong Kong SAR Government;Shanghai Leading Academic Discipline Project (Project Number:J50101)
摘 要:In this paper, we study the dynamical behaviour of an epidemic on complex networks with population mobility. In our model, the number of people on each node is unrestricted as the nodes of the network are considered as cities, communities, and so on. Because people can travel between different cities, we study the effect of a population's mobility on the epidemic spreading. In view of the population's mobility, we suppose that the susceptible individual can be infected by an infected individual in the same city or other connected cities. Simulations are presented to verify our analysis.In this paper, we study the dynamical behaviour of an epidemic on complex networks with population mobility. In our model, the number of people on each node is unrestricted as the nodes of the network are considered as cities, communities, and so on. Because people can travel between different cities, we study the effect of a population's mobility on the epidemic spreading. In view of the population's mobility, we suppose that the susceptible individual can be infected by an infected individual in the same city or other connected cities. Simulations are presented to verify our analysis.
关 键 词:complex network MOBILITY HETEROGENEITY epidemic threshold
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