基于元胞自动机的小世界网络病毒传播研究

人际网络具有小世界特征，拥有高聚类系数、短平均路径等特点。为研究病毒在小世界网络中的传播动力学及全局预警下节点的自主抑制行为，本文基于元胞自动机理论，提出一种小世界网络上的元胞自动机病毒传播模型。结合云模型，模型中节点在病毒传播过程中拥有断开与重连的自适应性，拥有节点危害性认识能力，可参照全局预警，运用层次分析法，对高危节点主动避让。仿真结果表明，该模型可较好模拟病毒的实际传播，通过全局预警可促使节点对高危节点进行规避，以延缓病毒传播。

An Epidemic Spreading Research on Small World Network Based on Cellular Automaton

 Social network has a characteristic of small world, with high cluster coefficient and short average distance. In order to do some research on epidemic spread in small world network and points’ voluntary suppressions under a global warning, a model based on CA(cellular automaton) is proposed. Combining with normal cloud model, we give the model some adaptive properties. Points in the model can break links and connect to others. Under a global warning, we let points abide by danger awareness function. Using AHP model, they are inclined to avoid danger points. Simulation results show that this model is good at simulating epidemic spread and it gives us an explanation of why global warning can postpone the epidemic spread on a network.