Spreading dynamics and synchronization behavior of periodic diseases on complex networks

Degang Xu, Xiyang Xu, Chunhua Yang and Weihua Gui

Physica A: Statistical Mechanics and its Applications, 2017, vol. 466, issue C, 544-551

Abstract: A new discrete-susceptible–infected–recovered–susceptible (DSIRS) model is introduced in this paper to investigate the disease spreading dynamics and synchronization behavior on complex networks. In the model, every node is considered independently rather than as a part of one group that has a common node state in complex networks. The synchronization phenomenon of epidemic spreading based on the model in random networks and scale-free networks is analyzed. Synchronization is affected by the infection duration, the complete cycle duration and the topological network structure, which affects the immune strategy. Accordingly, immune strategies including the maximum degree immune strategy and the nearest immune strategy are proposed to prevent disease propagating.

Keywords: Stochastic network; Scale-free network; Discrete SIRS model; Epidemic dynamics; Synchronization (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:466:y:2017:i:c:p:544-551

DOI: 10.1016/j.physa.2016.09.047

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