期刊文献+

复杂网络上病毒传播的元胞自动机模拟 被引量:10

Simulation of Cellular Automata for Virus Propagation on Complex Networks
下载PDF
导出
摘要 针对病毒在复杂网络拓扑结构中传播行为的多样性特点,运用元胞自动机模拟病毒传播过程,并采用"易染-感染-免疫"模型和"易染-感染-易染"模型构造元胞自动机模拟方法。实验结果表明,该自动机模型能较好地模拟复杂网络中病毒的传播过程。 Aiming at the various characteristic of virus propagation behaviors in complex networks topology, the cellular automata is used to simulate the transmission process of virus. Two models such as Susceptible-Infected-Recovered(SIR) and Susceptible-Infected-Susceptible(SIS) are also used to set up the simulation method for cellular automata. Experimental results show this automata model can simulate the transmission process of virus in complex networks well.
出处 《计算机工程》 CAS CSCD 北大核心 2008年第23期278-279,282,共3页 Computer Engineering
基金 国家自然科学基金资助项目(60373071)
关键词 复杂网络 元胞自动机 “易染-感染-免疫”模型 “易染-感染-易染”模型 complex networks cellular automata Susceptible-Infected-Recovered(SIR) model Susceptible-Infected-Susceptible(SIS) model
  • 相关文献

参考文献6

  • 1Watts D J. The 'New' Science of Networks[J]. Annual Review of Sociology, 2004, 30(10): 243-270.
  • 2Erdos P, Renyi A. On the Evolution of Random Graphs[J]. Publ. Math. Inst. Hung. Acad. Sci., 1960, 27(3): 17-60.
  • 3Barabasi A L, Albert R. Emergence of Scaling in Random Networks[J]. Science, 1999, 286(5439): 509-512.
  • 4Bailely N T J. The Mathematical Theory of Infectious Diseases and Its Applications[M]. New York, USA: Hafner Press, 1975.
  • 5Anderson R M, May R M. Infectious Diseases of Humans[M]. Oxford, UK: Oxford University Press, 1991.
  • 6Stephen W. A New Kind of Science[M]. [S. l.]: Wolfram Media Inc., 2002.

同被引文献121

引证文献10

二级引证文献44

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部