A study of epidemic spreading on activity-driven networks

Yijiang Zou, Weibing Deng (), Wei Li () and Xu Cai
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Yijiang Zou: Complexity Science Center, Institute of Particle Physics, Hua-Zhong (Central China) Normal University, Wuhan 430079, P. R. China
Weibing Deng: Complexity Science Center, Institute of Particle Physics, Hua-Zhong (Central China) Normal University, Wuhan 430079, P. R. China
Wei Li: Complexity Science Center, Institute of Particle Physics, Hua-Zhong (Central China) Normal University, Wuhan 430079, P. R. China
Xu Cai: Complexity Science Center, Institute of Particle Physics, Hua-Zhong (Central China) Normal University, Wuhan 430079, P. R. China

International Journal of Modern Physics C (IJMPC), 2016, vol. 27, issue 08, 1-9

Abstract: The epidemic spreading was explored on activity-driven networks (ADNs), accounting for the study of dynamics both on and of the ADN. By employing the susceptible-infected-susceptible (SIS) model, two aspects were considered: (1) the infection rate of susceptible agent (depending on the number of its infected neighbors) evolves due to the temporal structure of ADN, rather than being a constant number; (2) the susceptible and infected agents generate unequal links while being activated, namely, the susceptible agent gets few contacts with others in order to protect itself. Results show that, in both cases, the larger epidemic threshold and smaller outbreak size were obtained.

Keywords: Epidemic spreading; time-dependent infection rate; individual behavior; activity-driven networks (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1142/S012918311650090X

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