自适应复杂网络中的病毒传播模型

Virus spreading model based on adaptive complex network

提出了一个基于自适应复杂网络的病毒传播模型。模型中,易感节点为了不被感染,能够有意识地避开与感染节点的连接,此过程一方面使得网络结构发生了变化,另一方面网络结构的变化又反过来对病毒传播过程造成了影响。着重考查了模型中个体的躲避行为对病毒传播效果的影响,结果显示,在个体躲避行为的驱动下,系统的最终染病节点数会发生振荡,并且在一定的参数范围内系统出现了双稳状态。

A virus spreading model based on adaptive network is proposed.In this model,the susceptible nodes can break down the connection with the infected nodes in order not to be infected.During the evolving process,the structure of network is changed,and the changes of network structure in turn have an impact on the process of virus spreading.This paper studies the influence of individual’s avoidance behavior on the effect of virus spreading.The results show that,under the driving of the individual’s avoidance behavior,the final infected rate is oscillated,and the bistable state is observed when the pa- rameters are set at proper values.