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Immunization of traffic-driven epidemic spreading

Author

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  • Yang, Han-Xin
  • Wang, Bing-Hong

Abstract

In this paper, we study the control of the traffic-driven epidemic spreading by immunization strategy. We consider the random, degree-based and betweenness-based immunization strategies, respectively. It is found that the betweenness-based immunization strategy can most effectively prevent the outbreak of traffic-driven epidemic. Besides, we find that the critical number of immune nodes above which epidemic dies out is increased with the enhancement of the spreading rate and the packet-generation rate.

Suggested Citation

  • Yang, Han-Xin & Wang, Bing-Hong, 2016. "Immunization of traffic-driven epidemic spreading," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 86-90.
    • Handle: RePEc:eee:phsmap:v:443:y:2016:i:c:p:86-90
    DOI: 10.1016/j.physa.2015.09.079
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    Citations

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    Cited by:

    1. Chen, Xiao-Long & Wang, Rui-Jie & Yang, Chun & Cai, Shi-Min, 2019. "Hybrid resource allocation and its impact on the dynamics of disease spreading," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 156-165.
    2. Chen, Jie & Hu, Mao-Bin & Li, Ming, 2020. "Traffic-driven epidemic spreading dynamics with heterogeneous infection rates," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
    3. Nian, Fuzhong & Hu, Chasheng & Yao, Shuanglong & Wang, Longjing & Wang, Xingyuan, 2018. "An immunization based on node activity," Chaos, Solitons & Fractals, Elsevier, vol. 107(C), pages 228-233.
    4. Nian, Fuzhong & Ren, Song & Dang, Zhongkai, 2017. "The propagation-weighted priority immunization strategy based on propagation tree," Chaos, Solitons & Fractals, Elsevier, vol. 99(C), pages 72-78.
    5. Calatayud, Agustina & Bedoya-Maya, Felipe & Sánchez González, Santiago & Giraldez, Francisca, 2022. "Containing the spatial spread of COVID-19 through the trucking network," Transport Policy, Elsevier, vol. 115(C), pages 4-13.
    6. Chen, Jun-Jie & Hu, Mao-Bin & Wu, Yong-Hong, 2022. "Traffic-driven epidemic spreading with non-uniform origin and destination selection," Chaos, Solitons & Fractals, Elsevier, vol. 161(C).
    7. Xu, Degang & Xu, Xiyang & Yang, Chunhua & Gui, Weihua, 2017. "Spreading dynamics and synchronization behavior of periodic diseases on complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 544-551.
    8. Su, Zhu & Liu, Sannyuya & Deng, Weibing & Li, Wei & Cai, Xu, 2019. "Transportation dynamics on networks of heterogeneous mobile agents," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1379-1386.
    9. Chen, Jie & Tan, Xuegang & Cao, Jinde & Li, Ming, 2022. "Effect of coupling structure on traffic-driven epidemic spreading in interconnected networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).

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