期刊文献+

Analysis of SEIQ Immunization Model Strategy in Small-World 被引量:1

Analysis of SEIQ Immunization Model Strategy in Small-World
原文传递
导出
摘要 In this paper, we analyze an immunization strategy in SEIQ (susceptible, eclipse, infected, quarantine) model in small- world networks by associating the immunization probability with the infection probability. First, based on the mean-field theory, we establish the transmission dynamics equation for SEIQ model and find the relevant critical threshold of immunization which is re- lated to the topology of the network, the infection rate of the eclipse and infection, the density of quarantine and so on. Then we explain the influence of the immunization probability to the transmission of infectious disease. Finally, by simulating the propagation of this model on disease and comparing the results with theory results, we find that this kind of immunization strategy is effective in SEIQ model in small-world complex networks. In this paper, we analyze an immunization strategy in SEIQ (susceptible, eclipse, infected, quarantine) model in small- world networks by associating the immunization probability with the infection probability. First, based on the mean-field theory, we establish the transmission dynamics equation for SEIQ model and find the relevant critical threshold of immunization which is re- lated to the topology of the network, the infection rate of the eclipse and infection, the density of quarantine and so on. Then we explain the influence of the immunization probability to the transmission of infectious disease. Finally, by simulating the propagation of this model on disease and comparing the results with theory results, we find that this kind of immunization strategy is effective in SEIQ model in small-world complex networks.
出处 《Wuhan University Journal of Natural Sciences》 CAS 2010年第2期109-112,共4页 武汉大学学报(自然科学英文版)
基金 Supported by the National Natural Science Foundation of China (60970018)
关键词 SEIQ model IMMUNIZATION critical threshold simu-lation SEIQ model immunization critical threshold simu-lation
  • 相关文献

参考文献2

二级参考文献19

  • 1李光正,史定华.复杂网络上SIRS类疾病传播行为分析[J].自然科学进展,2006,16(4):508-512. 被引量:45
  • 2许丹,李翔,汪小帆.局域世界复杂网络中的病毒传播及其免疫控制[J].控制与决策,2006,21(7):817-820. 被引量:20
  • 3XIA Chengyi,LIU Zhongxin,CHEN Zengqiang,YUAN Zhuzhi.Dynamic spreading behavior of homogeneous and heterogeneous networks[J].Progress in Natural Science:Materials International,2007,17(3):358-365. 被引量:11
  • 4Albert R, Barabasi A L. Statistical mechanics of complex networks [J]. Review of Modern Physics, 2002, 74(1): 47-97.
  • 5Newman M E J. The structure and function of complex networks[J]. SIAM Review, 2003, 45(2): 167-256.
  • 6Boccaletti S, Latorab V, Moreno Y, et al. Complex networks : Structure and dynamics[J]. Physics Reports, 2006, 24(1): 175-308.
  • 7Murray J D. Mathematical biology [M]. Berlin: Springer-Verlag, 1993.
  • 8Kephart J O, Sorkin G B. Fighting computer viruses[J]. Scientific American, 1997,277(5): 56-61.
  • 9Watts D J, Strogatz S H. Collective dynamics of small- world networks[J]. Nature, 1998, 393(6): 440-442.
  • 10Barabdsi A L, Albert R. Emergence of scaling in random networks[J]. Science, 1999, 286 (10): 509-512.

共引文献42

同被引文献6

引证文献1

二级引证文献2

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