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Coupled propagation dynamics on multiplex activity-driven networks

Author

Listed:
  • Hu, Ping
  • Geng, Dongqing
  • Lin, Tao
  • Ding, Li

Abstract

It is increasingly recognized that human behaviors play an important role in the social information propagation. In this paper, we proposed a novel model coupling the behavior spreading with the information propagation on a two-layer activity-driven network. Based on this model, we explored the influence of behavior spreading on the information propagation process. The outbreak threshold of information propagation was analyzed and the results revealed a two-stage characteristic. Extensive numerical simulations were carried out to illustrate the theoretical results and further investigate the coupled dynamics on multiplex activity-driven networks.

Suggested Citation

  • Hu, Ping & Geng, Dongqing & Lin, Tao & Ding, Li, 2021. "Coupled propagation dynamics on multiplex activity-driven networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 561(C).
    • Handle: RePEc:eee:phsmap:v:561:y:2021:i:c:s0378437120306361
    DOI: 10.1016/j.physa.2020.125212
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    References listed on IDEAS

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    Cited by:

    1. Ping Yu & Zhiping Wang & Yanan Sun & Peiwen Wang, 2022. "Risk Diffusion and Control under Uncertain Information Based on Hypernetwork," Mathematics, MDPI, vol. 10(22), pages 1-17, November.
    2. Jia, Mengqi & Li, Xin & Ding, Li, 2021. "Epidemic spreading with awareness on multi-layer activity-driven networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 579(C).
    3. Xie, Xiaoxiao & Huo, Liang'an, 2024. "Co-evolution dynamics between information and epidemic with asymmetric activity levels and community structure in time-varying multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).
    4. Ping Yu & Peiwen Wang & Zhiping Wang & Jia Wang, 2022. "Supply Chain Risk Diffusion Model Considering Multi-Factor Influences under Hypernetwork Vision," Sustainability, MDPI, vol. 14(14), pages 1-15, July.

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