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Epidemics and immunization on Euclidean distance preferred small-world networks

Author

Listed:
  • Guo, Wei-Ping
  • Li, Xiang
  • Wang, Xiao-Fan

Abstract

In this paper, we propose a novel Euclidean distance preferred model yielding small-world networks in the Euclidean space, on which the epidemics dynamics is investigated. A novel local region immunization strategy is proposed to suppress the epidemic prevalence on the Euclidean small-world networks, and the critical immunization radius is extensively investigated, which could be helpful in the practical applications of immunization strategies in the real world.

Suggested Citation

  • Guo, Wei-Ping & Li, Xiang & Wang, Xiao-Fan, 2007. "Epidemics and immunization on Euclidean distance preferred small-world networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 380(C), pages 684-690.
  • Handle: RePEc:eee:phsmap:v:380:y:2007:i:c:p:684-690
    DOI: 10.1016/j.physa.2007.03.007
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    Cited by:

    1. Liu, Chen & Zhou, Li-xin & Fan, Chong-jun & Huo, Liang-an & Tian, Zhan-wei, 2015. "Activity of nodes reshapes the critical threshold of spreading dynamics in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 432(C), pages 269-278.
    2. Liang Chen & Guy G. Gable & Haibo Hu, 2013. "Communication and organizational social networks: a simulation model," Computational and Mathematical Organization Theory, Springer, vol. 19(4), pages 460-479, December.

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