Epidemic spreading and immunization in node-activity networks

Qingchu Wu () and Shufang Chen
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Qingchu Wu: College of Mathematics and Information Science, Jiangxi Normal University, Nanchang, P. R. China
Shufang Chen: College of Physics and Communication Electronics, Jiangxi Normal University, Nanchang, P. R. China

International Journal of Modern Physics C (IJMPC), 2015, vol. 26, issue 04, 1-12

Abstract: In this paper, we study the epidemic spreading in node-activity networks, where an individual participates in social networks with a certain rateh. There are two cases forh: the state-independent case and the state-dependent case. We investigate the epidemic threshold as a function ofhcompared to the static network. Our results suggest the epidemic threshold cannot be exactly predicted by using the analysis approach in the static network. In addition, we further propose a local information-based immunization protocol on node-activity networks. Simulation analysis shows that the immunization can not only eliminate the infectious disease, but also change the epidemic threshold via increasing the immunization parameter.

Keywords: Complex network; epidemic threshold; immunization; 89.75.-k; 87.23.Ge; 05.70.Ln (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1142/S0129183115500448

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