摘要
基于一维元胞自动机,考虑信息网络节点全局交互和网络通信流量不均衡的特点,提出新的susceptible-infected-susceptible(SIS)病毒传播模型,研究多种网络拓扑结构下病毒传播行为。研究表明,随着网络通信流量增大,病毒在不同拓扑结构网络中传播速度都明显加快,并在更短的时间内达到稳定的更高的感染规模。研究还发现,在考虑一定通信流量和路由协议下,病毒在节点度分布异质化程度较高的网络中最不易爆发。
Based on the one-dimensional cellular automata and considering the features of the global interaction of information network＇ s nodes and the unbalances of communication flows, a new susceptible-in- fected-susceptible （SIS） model is proposed to study epidemic spreading in a variety of network topologies with communication flow. Simulation results show that the propagation velocity increases obviously and the infection rate will reach a stable and higher scale in a short time in different network topologies with the communication flow becoming large. Moreover,in a certain communication flow state and under a certain routing protocol, the outbreak of epidemics is very impossible in the networks with higher heterogeneity of degree distribution.
出处
《南京邮电大学学报（自然科学版）》
2011年第6期85-89,98,共6页
Journal of Nanjing University of Posts and Telecommunications：Natural Science Edition
基金
国家自然科学基金(60874091)
江苏省高校自然科学基础研究计划(08KJD510022)
江苏省‘六大人才高峰’高层次人才计划(SJ209006)
南京邮电大学引进人才计划(NY209021)
江苏省普通高校研究生科研创新计划(CX10B_193Z)资助项目
关键词
病毒传播
通信流量
元胞自动机
状态转换函数
epidemic spreading
communication flow
cellular automata
transition function
