IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v647y2024ics0378437124004370.html

The coupled dynamics of information-behavior-epidemic propagation considering the heterogeneity of adoption thresholds and network structures in multiplex networks

Author

Listed:
  • Xie, Xiaoxiao
  • Huo, Liang’an

Abstract

During epidemics, individual responses to prevention and control information vary significantly, affecting the execution of preventive measures. This paper introduces a novel model to analyze the co-evolution of the information-behavior-epidemic dynamic, accounting for the heterogeneity in individual behavioral adoption thresholds and network structures. The model consists of three layers: the upper layer, utilizing scale-free social networks to represent the diffusion of information; the middle and lower layers, employing community networks, to illustrate individuals’ decision-making and epidemic transmission processes, respectively. We applied the Heaviside step function to depict the effects of information and local environmental factors on individuals’ decisions. Through the microscopic Markov chain approach (MMCA), we determined the epidemic threshold. Our methodology also included extensive Monte Carlo (MC) simulations to validate our theoretical predictions. Our results reveal several key insights: (i) reducing community mobility and the threshold for adopting preventive behaviors can significantly restrain the scale of the epidemic and delay outbreaks; (ii) the level of individual activity in the physical contact network has a significant influence on epidemic transmission; (iii) integrating individuals’ behavior adoption thresholds induces a two-stage phase change, deviating from the continuous phase transition typically observed in epidemic transmission.

Suggested Citation

  • Xie, Xiaoxiao & Huo, Liang’an, 2024. "The coupled dynamics of information-behavior-epidemic propagation considering the heterogeneity of adoption thresholds and network structures in multiplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 647(C).
    • Handle: RePEc:eee:phsmap:v:647:y:2024:i:c:s0378437124004370
    DOI: 10.1016/j.physa.2024.129928
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437124004370
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2024.129928?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Huo, Liang’an & Gu, Jiafeng, 2023. "The influence of individual emotions on the coupled model of unconfirmed information propagation and epidemic spreading in multilayer networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    2. Wu, Xiaoyan & Liu, Zonghua, 2008. "How community structure influences epidemic spread in social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(2), pages 623-630.
    3. Qu, Hongbo & Song, Yu-Rong & Li, Ruqi & Li, Min, 2023. "GNR: A universal and efficient node ranking model for various tasks based on graph neural networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P2).
    4. Peng, Hao & Peng, Wangxin & Zhao, Dandan & Wang, Wei, 2020. "Impact of the heterogeneity of adoption thresholds on behavior spreading in complex networks," Applied Mathematics and Computation, Elsevier, vol. 386(C).
    5. Sheu, Jiuh Biing & Kundu, Tanmoy, 2018. "Forecasting time-varying logistics distribution flows in the One Belt-One Road strategic context," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 117(C), pages 5-22.
    6. 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).
    7. Barman, Madhab & Mishra, Nachiketa, 2024. "Hopf bifurcation analysis for a delayed nonlinear-SEIR epidemic model on networks," Chaos, Solitons & Fractals, Elsevier, vol. 178(C).
    8. Wu, Bingjie & Huo, Liang'an, 2024. "The influence of different government policies on the co-evolution of information dissemination, vaccination behavior and disease transmission in multilayer networks," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
    9. Margaret E Peters, 2023. "Government finance and imposition of serfdom after the Black Death," European Review of Economic History, European Historical Economics Society, vol. 27(2), pages 149-173.
    10. Panicker, Akhil & Sasidevan, V., 2024. "Social adaptive behavior and oscillatory prevalence in an epidemic model on evolving random geometric graphs," Chaos, Solitons & Fractals, Elsevier, vol. 178(C).
    11. Liu, Jingzhou & Wu, Jinshan & Yang, Z.R., 2004. "The spread of infectious disease on complex networks with household-structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 341(C), pages 273-280.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Song, Bo & Fan, Ziyang & Song, Yurong & Ding, Lei & Qin, Yi & Wang, Xu, 2026. "Network robustness against cascading failures with time-varying adaptive behaviors triggered by information propagation," Chaos, Solitons & Fractals, Elsevier, vol. 202(P1).
    2. You, Xuemei & Fan, Xiaonan & Ma, Yinghong & Liu, Zhiyuan, 2025. "Information-disease coupling dynamics with message fatigue and behavioral responses in higher-order weighted networks," Chaos, Solitons & Fractals, Elsevier, vol. 199(P3).
    3. Yin, Longteng & Chen, Juan & Gao, Fujuan & Wu, Xiaoqun, 2025. "Coevolution of opinion and consumption behavior under a two-layer network framework," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 680(C).

    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. You, Xuemei & Fan, Xiaonan & Ma, Yinghong & Liu, Zhiyuan, 2025. "Information-disease coupling dynamics with message fatigue and behavioral responses in higher-order weighted networks," Chaos, Solitons & Fractals, Elsevier, vol. 199(P3).
    2. Shang, Jiaxing & Liu, Lianchen & Li, Xin & Xie, Feng & Wu, Cheng, 2015. "Epidemic spreading on complex networks with overlapping and non-overlapping community structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 171-182.
    3. Wang, Haiqing & Huang, He & Liu, Haiyan, 2026. "Competition or cooperation? Multiple information diffusion against epidemic spreading in a multiplex network," Chaos, Solitons & Fractals, Elsevier, vol. 203(C).
    4. 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).
    5. Shang, Jiaxing & Liu, Lianchen & Li, Xin & Xie, Feng & Wu, Cheng, 2016. "Targeted revision: A learning-based approach for incremental community detection in dynamic networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 70-85.
    6. Li, Yang & Sun, Hao & Sun, Panfei, 2025. "The contagion model with social dependency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 657(C).
    7. Wang, Chao & Lim, Ming K. & Zhang, Xinyi & Zhao, Longfeng & Lee, Paul Tae-Woo, 2020. "Railway and road infrastructure in the Belt and Road Initiative countries: Estimating the impact of transport infrastructure on economic growth," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 288-307.
    8. Sanders, Johnathan & Noble, Benjamin & Van Gorder, Robert A. & Riggs, Cortney, 2012. "Mobility matrix evolution for an SIS epidemic patch model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(24), pages 6256-6267.
    9. Yanfeng Liu & Miao Su & Jinjing Zhao & Sally Martin & Kum Fai Yuen & Choong-Bae Lee, 2023. "The determinants of China’s outward foreign direct investment: a vector error correction model analysis of coastal and landlocked countries," Economic Change and Restructuring, Springer, vol. 56(1), pages 29-56, February.
    10. Dong, Yafang & Huo, Liang’an, 2024. "A multi-scale mathematical model of rumor propagation considering both intra- and inter-individual dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 185(C).
    11. Kotnis, Bhushan & Kuri, Joy, 2016. "Cost effective campaigning in social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 670-681.
    12. Teng, Min & Wang, Yuchen & Gao, Chao & Dmitrichev, Alexey S. & Kasatkin, Dmitry V. & Maslennikov, Oleg V. & Nekorkin, Vladimir I., 2025. "Similarity-smooth graph contrastive learning for community detection in adaptive oscillatory networks," Chaos, Solitons & Fractals, Elsevier, vol. 200(P1).
    13. Claudio Ferrari & Alessio Tei, 2020. "Effects of BRI strategy on Mediterranean shipping transport," Journal of Shipping and Trade, Springer, vol. 5(1), pages 1-18, December.
    14. Huo, Liang’an & Pan, Mengyu & Gu, Jiafeng, 2025. "Analysis of two-layer network SA1A2R1R2 model under the influence of competitive information and asymmetric activity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 676(C).
    15. Wang, Yuyao & Bu, Zhan & Yang, Huan & Li, Hui-Jia & Cao, Jie, 2021. "An effective and scalable overlapping community detection approach: Integrating social identity model and game theory," Applied Mathematics and Computation, Elsevier, vol. 390(C).
    16. Li, Ming & Huo, Liang'an, 2025. "Effect of time-varying validity of individual interaction on co-evolution of awareness and epidemics in a multiplex high-order network," Applied Mathematics and Computation, Elsevier, vol. 499(C).
    17. Liu, Tongtao & Zhang, Yongping, 2024. "Tracking problem of the Julia set for the SIS model with saturated treatment function under noise," Chaos, Solitons & Fractals, Elsevier, vol. 186(C).
    18. Zhang, Zehui & Zhu, Kangci & Wang, Fang, 2025. "Indirect information propagation model with time-delay effect on multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 192(C).
    19. Wang, Juquan & Ma, Jing & Han, Dun, 2025. "Online contagion with second-neighbor interaction on signed social networks," Chaos, Solitons & Fractals, Elsevier, vol. 200(P3).
    20. Liu, Na & Wang, Jia & Sun, Junwei & Zhang, Chong & Lan, Qixun & Deng, Wei, 2025. "Dynamical analysis of a fractional-order epidemic weighted network model and its finite-time control," Chaos, Solitons & Fractals, Elsevier, vol. 196(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:phsmap:v:647:y:2024:i:c:s0378437124004370. 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: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.