IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v499y2025ics009630032500133x.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S009630032500133X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.amc.2025.129406?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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).
    3. 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.
    4. 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.
    5. 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..
    6. 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).
    7. 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).
    8. 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).
    9. 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).
    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. 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.
    12. 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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Christina Leuker & Thorsten Pachur & Ralph Hertwig & Timothy J. Pleskac, 2019. "Do people exploit risk–reward structures to simplify information processing in risky choice?," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 5(1), pages 76-94, August.
    2. Stefano DellaVigna, 2009. "Psychology and Economics: Evidence from the Field," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 315-372, June.
    3. Enrico G. De Giorgi & David B. Brown & Melvyn Sim, 2010. "Dual representation of choice and aspirational preferences," University of St. Gallen Department of Economics working paper series 2010 2010-07, Department of Economics, University of St. Gallen.
    4. Jacobs Martin, 2016. "Accounting for Changing Tastes: Approaches to Explaining Unstable Individual Preferences," Review of Economics, De Gruyter, vol. 67(2), pages 121-183, August.
    5. F. Knobloch & J. -F. Mercure, 2016. "The behavioural aspect of green technology investments: a general positive model in the context of heterogeneous agents," Papers 1603.06888, arXiv.org.
    6. Eddie Dekel & Barton L. Lipman, 2010. "How (Not) to Do Decision Theory," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 257-282, September.
    7. Ronald Schettkat, 2022. "The Behavioral Economics of John Maynard Keynes," Books, Edward Elgar Publishing, number 21192.
    8. Pech, Wesley & Milan, Marcelo, 2009. "Behavioral economics and the economics of Keynes," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(6), pages 891-902, December.
    9. Ronald Schettkat, 2018. "Revision or Revolution? A Note on Behavioral vs. Neoclassical Economics," Schumpeter Discussion Papers sdp18005, Universitätsbibliothek Wuppertal, University Library.
    10. Mario GRAZIANO & Daniele SCHILIRÒ, 2011. "Rationality And Choices In Economics: Behavioral And Evolutionary Approaches," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 2(2), pages 182-195.
    11. Yan Li & David Ahlstrom, 2020. "Risk-taking in entrepreneurial decision-making: A dynamic model of venture decision," Asia Pacific Journal of Management, Springer, vol. 37(3), pages 899-933, September.
    12. Nicholas G. Hall & Daniel Zhuoyu Long & Jin Qi & Melvyn Sim, 2015. "Managing Underperformance Risk in Project Portfolio Selection," Operations Research, INFORMS, vol. 63(3), pages 660-675, June.
    13. Vriend, Nicolaas J., 1996. "Rational behavior and economic theory," Journal of Economic Behavior & Organization, Elsevier, vol. 29(2), pages 263-285, March.
    14. Daniele SCHILIRÒ, 2013. "Bounded Rationality: Psychology, Economics And The Financial Crises," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 4(1), pages 97-108.
    15. Elisabeth Gsottbauer & Jeroen Bergh, 2011. "Environmental Policy Theory Given Bounded Rationality and Other-regarding Preferences," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(2), pages 263-304, June.
    16. Luca Congiu & Ivan Moscati, 2022. "A review of nudges: Definitions, justifications, effectiveness," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 188-213, February.
    17. Florian L. Kutzner & Daniel Read & Neil Stewart & Gordon Brown, 2017. "Choosing the Devil You Don’t Know: Evidence for Limited Sensitivity to Sample Size–Based Uncertainty When It Offers an Advantage," Management Science, INFORMS, vol. 63(5), pages 1519-1528, May.
    18. James Alm, 2019. "What Motivates Tax Compliance?," Journal of Economic Surveys, Wiley Blackwell, vol. 33(2), pages 353-388, April.
    19. Manski, Charles F., 2013. "Public Policy in an Uncertain World: Analysis and Decisions," Economics Books, Harvard University Press, number 9780674066892, Spring.
    20. Schilirò, Daniele, 2011. "Economics and psychology.Perfect rationality versus bounded rationality," MPRA Paper 34292, University Library of Munich, Germany.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:apmaco:v:499:y:2025:i:c:s009630032500133x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.