An SIS Epidemic Model with Distributed Infection Rate in Complex Network
We propose a modi ed Susceptible-Infected-Susceptible (SIS)model to analyze the in uence of the distributed in-fection rate on the epidemic spreading behavior in complex networks.Unlike the traditional SIS model,the spreading rate is assumed to take several typical distributions,such as two-point,uniform and exponential distributions.This kind of distributed spreading rate can characterize the individuals difference of infectivity which is often observed in many real epidemics.Large-scale numerical simulations show that the distributed infection rate can signi cantly reduce the density of the infected nodes, and slow down the dynamical propagation process.Thus,current results are of high importance for us to further understand the disease propagation properties of epidemics in real complex systems.
XIA Chengyi MA Junhai FANG Yi SUN Shiwen WANG Li CHEN Zengqiang
School of Management and Economics,Tianjin University,Tianjin 300072,P.R.China Tianjin Key Lab.of In School of Management and Economics,Tianjin University,Tianjin 300072,P.R.China Tianjin Key Lab.of Intelligence Computing and Novel Software Technology,Tianjin University of Techno Department of Automation,Nankai University,Tianjin 300071,P.R.China
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-6
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）