FRACTAL PROPAGATION AND IMMUNITY ON NETWORK

Fuzhong Nian, Yang Yang and Yayong Shi
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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

FRACTALS (fractals), 2021, vol. 29, issue 06, 1-12

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.

Keywords: Fractal Network; Virus Propagation; Fractal Propagation; Target Immunity; COVID-19 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:wsi:fracta:v:29:y:2021:i:06:n:s0218348x21501346

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DOI: 10.1142/S0218348X21501346

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