Steady States of Epidemic Spreading in Small-World Networks
Xin-Jian Xu, Zhi-Xi Wu, Yong Chen, Ying-Hai Wang
Abstract
We consider a standard susceptible-infected-susceptible (SIS) model to study behaviors of steady states of epidemic spreading in small-world networks. Using analytical methods and large scale simulations, we recover the usual epidemic behavior with a critical threshold λc below which infectious diseases die out. Whereas for the spreading rate λ far above λc, it was found that the density of infected individuals ρ as a function of λ has the property ρ≈ F(K)( λ- λc).
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