Moore C, Newman M E
Department of Computer Science and Department of Physics, University of New Mexico, Albuquerque, New Mexico 87131, USA.
Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 2000 Nov;62(5 Pt B):7059-64. doi: 10.1103/physreve.62.7059.
We study percolation on small-world networks, which has been proposed as a simple model of the propagation of disease. The occupation probabilities of sites and bonds correspond to the susceptibility of individuals to the disease, and the transmissibility of the disease respectively. We give an exact solution of the model for both site and bond percolation, including the position of the percolation transition at which epidemic behavior sets in, the values of the critical exponents governing this transition, the mean and variance of the distribution of cluster sizes (disease outbreaks) below the transition, and the size of the giant component (epidemic) above the transition.
我们研究小世界网络上的渗流问题,该问题已被提出作为疾病传播的一个简单模型。节点和边的占据概率分别对应个体对疾病的易感性以及疾病的传播性。我们给出了该模型针对节点渗流和边渗流的精确解,包括流行病行为开始时渗流转变的位置、控制此转变的临界指数值、低于转变点时簇大小(疾病爆发)分布的均值和方差,以及高于转变点时巨分支(流行病)的大小。