%0 Journal Article
%T An epidemic spreading model in adaptive networks based on cellular automata<br>一种基于元胞自动机的自适应网络病毒传播模型
%A Song Yu-Rong
%A Jiang Guo-Ping
%A Xu Jia-Gang
%A <br>宋玉蓉
%A 蒋国平
%A 徐加刚
%J 物理学报
%D 2011
%I 
%X An adaptive network is a kind of co-evolutionary network in which the behaviors of nodes and the dynamics of the network affect each other. A susceptible-infected-susceptible epidemics spreading model in the adaptive network is proposed using cellular automata. Under different rewriting rules for avoiding the epidemic spreading, the changes in epidemic dynamics and the properties of the network statistic are investigated. The simulation results show that the introduction of rewiring can slow down the spreading speed of epidemic and suppress the infected scale of epidemic. The random rewiring rules make the properties of an original network with any topology tend to those of a random network. Furthermore, the proposed cellular automata model can clearly exhibit the phenomenon of bi-stability in epidemic dynamics.
%K adaptive networks
%K epidemic dynamics
%K network dynamics
%K cellular automata<br>自适应网络
%K 传播动力学
%K 网络动力学
%K 元胞自动机
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=29DF2CB55EF687E7EFA80DFD4B978260&aid=AE5F2209B3AD91E8F36ED483FE2A8950&yid=9377ED8094509821&vid=BFE7933E5EEA150D&iid=59906B3B2830C2C5&sid=0F95365BF0C6CA3D&eid=0F95365BF0C6CA3D&journal_id=1000-3290&journal_name=物理学报&referenced_num=0&reference_num=18