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

Author

Listed:
  • Nie, Xiaoyu
  • Tang, Ming
  • Zou, Yong
  • Guan, Shuguang
  • Zhou, Jie

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.

Suggested Citation

  • Nie, Xiaoyu & Tang, Ming & Zou, Yong & Guan, Shuguang & Zhou, Jie, 2017. "The impact of heterogeneous response on coupled spreading dynamics in multiplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 484(C), pages 225-232.
    • Handle: RePEc:eee:phsmap:v:484:y:2017:i:c:p:225-232
    DOI: 10.1016/j.physa.2017.04.140
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    Citations

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    Cited by:

    1. Basak, Gopal K. & Das, Pranab Kumar & Rohit, Allena, 2019. "Coupled dynamics with an external system and application to international finance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 409-432.
    2. Liu, Hui & Yang, Naiding & Yang, Zhao & Lin, Jianhong & Zhang, Yanlu, 2020. "The impact of firm heterogeneity and awareness in modeling risk propagation on multiplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    3. Wu, Jiang & Zuo, Renxian & He, Chaocheng & Xiong, Hang & Zhao, Kang & Hu, Zhongyi, 2022. "The effect of information literacy heterogeneity on epidemic spreading in information and epidemic coupled multiplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).
    4. Dong Wang & Yi Zhao & Hui Leng, 2020. "Dynamics of Epidemic Spreading in the Group-Based Multilayer Networks," Mathematics, MDPI, vol. 8(11), pages 1-15, October.

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