Suppressing epidemic spreading by risk-averse migration in dynamical networks

Han Xin Yang, Ming Tang, Zhen Wang

科研成果: 期刊稿件文章同行评审

19 引用 (Scopus)

摘要

In this paper, we study the interplay between individual behaviors and epidemic spreading in a dynamical network. We distribute agents on a square-shaped region with periodic boundary conditions. Every agent is regarded as a node of the network and a wireless link is established between two agents if their geographical distance is less than a certain radius. At each time, every agent assesses the epidemic situation and make decisions on whether it should stay in or leave its current place. An agent will leave its current place with a speed if the number of infected neighbors reaches or exceeds a critical value E. Owing to the movement of agents, the network's structure is dynamical. Interestingly, we find that there exists an optimal value of E leading to the maximum epidemic threshold. This means that epidemic spreading can be effectively controlled by risk-averse migration. Besides, we find that the epidemic threshold increases as the recovering rate increases, decreases as the contact radius increases, and is maximized by an optimal moving speed. Our findings offer a deeper understanding of epidemic spreading in dynamical networks.

源语言英语
页(从-至)347-352
页数6
期刊Physica A: Statistical Mechanics and its Applications
490
DOI
出版状态已出版 - 15 1月 2018

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