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An improved local immunization strategy for scale-free networks with a high degree of clustering

Author

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  • Lingling Xia

    (College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications)

  • Guoping Jiang

    (College of Automation, Nanjing University of Posts and Telecommunications)

  • Yurong Song

    (College of Automation, Nanjing University of Posts and Telecommunications)

  • Bo Song

    (College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications)

Abstract

The design of immunization strategies is an extremely important issue for disease or computer virus control and prevention. In this paper, we propose an improved local immunization strategy based on node’s clustering which was seldom considered in the existing immunization strategies. The main aim of the proposed strategy is to iteratively immunize the node which has a high connectivity and a low clustering coefficient. To validate the effectiveness of our strategy, we compare it with two typical local immunization strategies on both real and artificial networks with a high degree of clustering. Simulations on these networks demonstrate that the performance of our strategy is superior to that of two typical strategies. The proposed strategy can be regarded as a compromise between computational complexity and immune effect, which can be widely applied in scale-free networks of high clustering, such as social network, technological networks and so on. In addition, this study provides useful hints for designing optimal immunization strategy for specific network.

Suggested Citation

  • Lingling Xia & Guoping Jiang & Yurong Song & Bo Song, 2017. "An improved local immunization strategy for scale-free networks with a high degree of clustering," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 90(1), pages 1-7, January.
    • Handle: RePEc:spr:eurphb:v:90:y:2017:i:1:d:10.1140_epjb_e2016-70334-9
    DOI: 10.1140/epjb/e2016-70334-9
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    Cited by:

    1. Jeong, Wonhee & Yu, Unjong, 2022. "Effects of quadrilateral clustering on complex contagion," Chaos, Solitons & Fractals, Elsevier, vol. 165(P1).
    2. Zhangbo Yang & Jiahao Zhang & Shanxing Gao & Hui Wang, 2022. "Complex Contact Network of Patients at the Beginning of an Epidemic Outbreak: An Analysis Based on 1218 COVID-19 Cases in China," IJERPH, MDPI, vol. 19(2), pages 1-17, January.
    3. Zhou, Jiaying & Zhao, Yi & Ye, Yong, 2022. "Complex dynamics and control strategies of SEIR heterogeneous network model with saturated treatment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P2).

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    Keywords

    Statistical and Nonlinear Physics;

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