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Fractal Propagation And Immunity On Network

Author

Listed:
  • FUZHONG NIAN

    (Lanzhou University of Technology, LanZhou 730050, P. R. China)

  • YANG YANG

    (Lanzhou University of Technology, LanZhou 730050, P. R. China)

  • YAYONG SHI

    (Lanzhou University of Technology, LanZhou 730050, P. R. China)

Abstract

In this paper, the epidemic spreading was investigated from the point of view of fractal. Firstly, the real network was abstracted as a fully connected fractal network. Based on the fractal network, the fractal spreading process was studied. The fractal spreading process was simulated to analyze the change of infection density during transmission. The results showed that the infection density presented an upward trend of the ladder-shaped, and a jumping change in infection density occurred during a certain time. As an illustration, the pandemic of COVID-19 was analyzed, the results indicated that the proposed method was valid. Experiments and analyses have shown that intervention at key jump points in virus propagation can effectively control the spread of the virus.

Suggested Citation

  • Fuzhong Nian & Yang Yang & Yayong Shi, 2021. "Fractal Propagation And Immunity On Network," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 29(06), pages 1-12, September.
  • Handle: RePEc:wsi:fracta:v:29:y:2021:i:06:n:s0218348x21501346
    DOI: 10.1142/S0218348X21501346
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    Cited by:

    1. Jin, Ziyang & Duan, Dongli & Wang, Ning, 2022. "Cascading failure of complex networks based on load redistribution and epidemic process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    2. Nian, Fuzhong & Liu, Xinghao & Diao, Hongyuan, 2022. "Mechanism of investor behavior propagation in stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).

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