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A co-evolutionary model of information, behavior, and epidemics in multiplex networks: Incorporating subjective and objective factors

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  • Yu, Yue
  • Huo, Liang'an

Abstract

The dissemination of information and the adoption of immunization behaviors are vital for preventing infection during epidemics. Positive and negative information have different influences on the decision to accept immunization behaviors, and individuals make decisions about whether to accept immunization based on both subjective cognizance and objective environmental factors. A three-layer propagation model is proposed to explore the co-evolutionary dynamics of competitive information, immunization behavior, and epidemics in multiplex networks. We consider the competitive transmission of positive and negative information under the effect of individual cognitive preference and the effect of the subjective cognizance and objective environmental factors. For the objective environmental factors, the Prospect Theory is introduced to describe the risk-related costs. Furthermore, we investigate the local group immunity phenomenon. Utilizing the MMCA (microscopic Markov chain approach) for theoretical analysis, our findings indicate that the dynamics of epidemic transmission can indeed undergo multi-stage phase transitions when there exists a competing propagation of positive and negative information. Improving individual cognitive preference for positive information is essential for making the right judgments when engaging in the immunization game process and reducing the epidemic transmission scale. In addition, individuals are encouraged to reduce the free-rider strategy and adopt immunization behavior timely during epidemic transmission, as this contributes to overall emergency management.

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  • Yu, Yue & Huo, Liang'an, 2025. "A co-evolutionary model of information, behavior, and epidemics in multiplex networks: Incorporating subjective and objective factors," Applied Mathematics and Computation, Elsevier, vol. 499(C).
    • Handle: RePEc:eee:apmaco:v:499:y:2025:i:c:s009630032500133x
    DOI: 10.1016/j.amc.2025.129406
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    1. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    2. Wang, Yichao & Tu, Lilan & Wang, Xianjia & Guo, Yifei, 2024. "Evolutionary vaccination game considering intra-seasonal strategy shifts regarding multi-seasonal epidemic spreading," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
    3. Ashish R. Hota & Shreyas Sundaram, 2017. "Game-Theoretic Vaccination Against Networked SIS Epidemics and Impacts of Human Decision-Making," Papers 1703.08750, arXiv.org, revised Mar 2019.
    4. Huo, Liang’an & Yu, Yue, 2023. "The impact of the self-recognition ability and physical quality on coupled negative information-behavior-epidemic dynamics in multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
    5. Sheng Hong & Hongqi Yang & Tingdi Zhao & Xiaomin Ma, 2016. "Epidemic spreading model of complex dynamical network with the heterogeneity of nodes," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(11), pages 2745-2752, August.
    6. Wu, Yucui & Zhang, Zhipeng & Song, Limei & Xia, Chengyi, 2024. "Global stability analysis of two strains epidemic model with imperfect vaccination and immunity waning in a complex network," Chaos, Solitons & Fractals, Elsevier, vol. 179(C).
    7. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    8. Zou, Rongcheng & Duan, Xiaofang & Han, Zhen & Lu, Yikang & Ma, Kewei, 2023. "What information sources can prevent the epidemic: Local information or kin information?," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
    9. Hou, Yunxiang & Lu, Yikang & Dong, Yuting & Jin, Libin & Shi, Lei, 2023. "Impact of different social attitudes on epidemic spreading in activity-driven networks," Applied Mathematics and Computation, Elsevier, vol. 446(C).
    10. Yaqub, Ohid & Castle-Clarke, Sophie & Sevdalis, Nick & Chataway, Joanna, 2014. "Attitudes to vaccination: A critical review," Social Science & Medicine, Elsevier, vol. 112(C), pages 1-11.
    11. Li, Dandan & Xie, Weijie & Han, Dun, 2024. "Multi-information and epidemic coupling propagation considering indirect contact on two-layer networks," Applied Mathematics and Computation, Elsevier, vol. 474(C).
    12. Daniel Ellsberg, 1961. "Risk, Ambiguity, and the Savage Axioms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 75(4), pages 643-669.
    Full references (including those not matched with items on IDEAS)

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