Schwarzkopf Yonathan, Rákos Attila, Mukamel David
Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot 76100, Israel.
Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Sep;82(3 Pt 2):036112. doi: 10.1103/PhysRevE.82.036112. Epub 2010 Sep 24.
A model for epidemic spreading on rewiring networks is introduced and analyzed for the case of scale free steady state networks. It is found that contrary to what one would have naively expected, the rewiring process typically tends to suppress epidemic spreading. In particular it is found, that as in static networks under a mean-field approximation, rewiring networks with degree distribution exponent γ>3 exhibit a threshold in the infection rate below which epidemics die out in the steady state. However the threshold is higher in the rewiring case. For 2<γ≤3 no such threshold exists, but for small infection rate the steady state density of infected nodes (prevalence) is smaller for rewiring networks.
我们引入并分析了一种在重连网络上的流行病传播模型,该模型适用于无标度稳态网络的情况。结果发现,与人们天真的预期相反,重连过程通常倾向于抑制流行病传播。特别地,我们发现,如同在平均场近似下的静态网络中一样,度分布指数γ>3的重连网络在感染率上存在一个阈值,低于该阈值时,流行病在稳态下会消亡。然而,在重连情况下阈值更高。对于2<γ≤3,不存在这样的阈值,但对于小感染率,重连网络中被感染节点的稳态密度(流行程度)较小。