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考虑通信流量的复杂网络病毒传播研究
引用本文:任环,王亚奇,宋玉蓉,蒋国平. 考虑通信流量的复杂网络病毒传播研究[J]. 南京邮电大学学报(自然科学版), 2011, 31(6): 85-89,98
作者姓名:任环  王亚奇  宋玉蓉  蒋国平
作者单位:1. 南京邮电大学自动化学院,江苏南京,210046
2. 南京邮电大学计算机学院,江苏南京,210046
基金项目: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
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.

关 键 词:病毒传播  通信流量  元胞自动机  状态转换函数

Epidemic Spreading on Complex Networks Considering Communication Flow
REN Huan , WANG Ya-qi , SONG Yu-rong , JIANG Guo-ping. Epidemic Spreading on Complex Networks Considering Communication Flow[J]. JJournal of Nanjing University of Posts and Telecommunications, 2011, 31(6): 85-89,98
Authors:REN Huan    WANG Ya-qi    SONG Yu-rong    JIANG Guo-ping
Affiliation:1.College of Automation,Nanjing University of Posts and Telecommunications,Nanjing 210046,China2.College of Computer,Nanjing University of Posts and Telecommunications,Nanjing 210046,China
Abstract: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-infected-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.
Keywords:epidemic spreading  communication flow  cellular automata  transition function
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