Title :
An SIS epidemic model with distributed infection rate in complex network
Author :
Xia Chengyi ; Ma Junhai ; Fang Yi ; Sun Shiwen ; Wang Li ; Chen Zengqiang
Author_Institution :
Sch. of Manage. & Econ., Tianjin Univ., Tianjin, China
Abstract :
We propose a modified Susceptible-Infected-Susceptible (SIS) model to analyze the influence of the distributed infection 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 individual´s difference of infectivity which is often observed in many real epidemics. Largescale numerical simulations show that the distributed infection rate can significantly 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.
Keywords :
complex networks; diseases; epidemics; exponential distribution; numerical analysis; SIS epidemic model; complex networks; disease propagation properties; distributed infection rate; distributed spreading rate; dynamical propagation process; epidemic spreading behavior; epidemics; exponential distributions; real complex systems; susceptible-infected-susceptible model; uniform distributions; Barium; Complex networks; Diseases; Exponential distribution; Numerical models; Numerical simulation; Topology; Complex network; Distributed infection rate; Epidemic spreading; SIS model;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768