%0 Journal Article
%T Epidemic Diffusion on Complex Networks
%A WU Xiao-Yan
%A LIU Zong-Hua
%A <br>武晓雁
%A 刘宗华
%J 中国物理快报
%D 2007
%I 
%X Both diffusion and epidemic are well studied in the stochastic systems and complex networks, respectively. Here we combine these two fields and study epidemic diffusion in complex networks. Instead of studying the threshold of infection, which was focused on in previous works, we focus on the diffusion behayiour. We find that the epidemic diffusion in a complex network is an anomalous superdiffusion with varying diffusion exponent and that γ is influenced seriously by the network structure, such as the clustering coefficient and the degree distribution. Numerical simulations have confirmed the theoretical predictions.
%K 89
%K 75
%K Hc
%K 05
%K 40
%K Fb
%K 05
%K 60
%K Cd<br>扩散功能
%K 复杂网络
%K 网络结构
%K 流行控制
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=E27DA92E19FE279A273627875A70D74D&aid=A6F1F92187EC7BB867ACC229F588D34E&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=E158A972A605785F&sid=C92F92E9A15D3512&eid=F88EF6DD822B0FF5&journal_id=0256-307X&journal_name=中国物理快报&referenced_num=0&reference_num=0