Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (18): 127-129.

• 网络、通信、安全 • Previous Articles     Next Articles

Virus spreading model based on adaptive complex network

ZHOU Haiping1,2,CAI Shaohong2   

  1. 1.Department of Computer Science,Guiyang College,Guiyang 550005,China
    2.College of Science,Guizhou University,Guiyang 550025,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-06-21 Published:2011-06-21

自适应复杂网络中的病毒传播模型

周海平1,2,蔡绍洪2   

  1. 1.贵阳学院 计算机科学系,贵阳 550005
    2.贵州大学 理学院,贵阳 550025

Abstract: 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 parameters are set at proper values.

Key words: adaptive complex network, virus spreading, bistable state

摘要: 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。

关键词: 自适应复杂网络, 病毒传播, 双稳状态