The impact of heterogeneous response on coupled spreading dynamics in multiplex networks

Xiaoyu Nie, Ming Tang, Yong Zou, Shuguang Guan and Jie Zhou

Physica A: Statistical Mechanics and its Applications, 2017, vol. 484, issue C, 225-232

Abstract: Many recent studies have demonstrated that individual awareness of disease may significantly affect the spreading process of infectious disease. In the majority of these studies, the response of the awareness is generally treated homogeneously. Considering of diversity and heterogeneity in the human behavior which widely exist under different circumstances, in this paper we study heterogeneous response when people are aware of the prevalence of infectious diseases. Specifically, we consider that an individual with more neighbors may take more preventive measures as a reaction when he is aware of the disease. A suppression strength is introduced to describe such heterogeneity, and we find that a more evident heterogeneity may cause a more effective suppressing effect to the spreading of epidemics. A mean-field theory is developed to support the results which are verified on the multiplex networks with different interlayer degree correlation.

Keywords: Complex networks; Epidemic spreading; Heterogeneous response (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:484:y:2017:i:c:p:225-232

DOI: 10.1016/j.physa.2017.04.140

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