IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v199y2025ip2s0960077925008513.html

Effects of individual social skills heterogeneity and reinforcement mechanisms on co-evolution of disease and information within hypernetworks

Author

Listed:
  • Li, Ming
  • Huo, Liang'an

Abstract

Individual interactions serve as the fundamental mechanism for spreading phenomena that occur in networks. Traditional link networks are typically used to describe pairwise interactions, while higher-order interactions are inadequately described. Hypernetworks, by contrast, provide effective tools for modeling interactions among multiple individuals. In this paper, we examine co-evolution of disease and information within hypernetworks, considering individual social skill heterogeneity and the reinforcing effects of higher-order interactions. We solve evolving equations of individual states and disease spread thresholds using the micro-Markov chain approach. Experimental results suggest that enhanced individual social skills facilitate the spread of both disease and information. In addition, increasing individual social skills within the information layer while reducing them in the disease layer is more conducive to controlling disease transmission. Moreover, celebrities have a greater impact on the spread of disease and information than the general population. Finally, the reinforcement effect promotes the spread of disease and information compared to pairwise networks.

Suggested Citation

  • Li, Ming & Huo, Liang'an, 2025. "Effects of individual social skills heterogeneity and reinforcement mechanisms on co-evolution of disease and information within hypernetworks," Chaos, Solitons & Fractals, Elsevier, vol. 199(P2).
    • Handle: RePEc:eee:chsofr:v:199:y:2025:i:p2:s0960077925008513
    DOI: 10.1016/j.chaos.2025.116838
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077925008513
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.chaos.2025.116838?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. Chen, Lei & Lu, Juntao & Wang, Yalin & Jia, Chunxiao & Liu, Run-Ran & Meng, Fanyuan, 2025. "Cascading failures with group support in interdependent hypergraphs," Chaos, Solitons & Fractals, Elsevier, vol. 192(C).
    2. Suo, Qi & Guo, Jin-Li & Shen, Ai-Zhong, 2018. "Information spreading dynamics in hypernetworks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 475-487.
    3. Laptyeva, T. & Jalan, S. & Ivanchenko, M., 2025. "Explosive synchronization in multiplex multiple timescale networks with higher-order interactions," Chaos, Solitons & Fractals, Elsevier, vol. 192(C).
    4. 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).
    5. Cooper, Ian & Mondal, Argha & Antonopoulos, Chris G., 2020. "A SIR model assumption for the spread of COVID-19 in different communities," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    6. Han, Dun & Wang, Xin, 2024. "Impact of positive and negative information on epidemic spread in a three-layer network," Chaos, Solitons & Fractals, Elsevier, vol. 186(C).
    7. Liu, Run-Ran & Chu, Changchang & Meng, Fanyuan, 2023. "Higher-order interdependent percolation on hypergraphs," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    8. Li, WenYao & Xue, Xiaoyu & Pan, Liming & Lin, Tao & Wang, Wei, 2022. "Competing spreading dynamics in simplicial complex," Applied Mathematics and Computation, Elsevier, vol. 412(C).
    9. Guilherme Ferraz de Arruda & Giovanni Petri & Pablo Martin Rodriguez & Yamir Moreno, 2023. "Multistability, intermittency, and hybrid transitions in social contagion models on hypergraphs," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    10. Zhang, Kebo & Hong, Xiao & Han, Yuexing & Wang, Bing, 2024. "Interplay of simplicial information propagation and epidemic spreading on multiplex metapopulation networks," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
    11. Chen, Lei & Zhu, Yanpeng & Zhu, Jiadong & Cui, Longqing & Ruan, Zhongyuan & Small, Michael & Christensen, Kim & Liu, Run-Ran & Meng, Fanyuan, 2025. "A simple model of global cascades on random hypergraphs," Chaos, Solitons & Fractals, Elsevier, vol. 193(C).
    12. Shi, Hongjing & Duan, Zhisheng & Chen, Guanrong, 2008. "An SIS model with infective medium on complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(8), pages 2133-2144.
    13. You, Xuemei & Zhang, Man & Ma, Yinghong & Tan, Jipeng & Liu, Zhiyuan, 2023. "Impact of higher-order interactions and individual emotional heterogeneity on information-disease coupled dynamics in multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    14. Zang, Haijuan, 2018. "The effects of global awareness on the spreading of epidemics in multiplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 1495-1506.
    15. Federico Malizia & Santiago Lamata-Otín & Mattia Frasca & Vito Latora & Jesús Gómez-Gardeñes, 2025. "Hyperedge overlap drives explosive transitions in systems with higher-order interactions," Nature Communications, Nature, vol. 16(1), pages 1-10, December.
    16. Iacopo Iacopini & Giovanni Petri & Alain Barrat & Vito Latora, 2019. "Simplicial models of social contagion," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    17. Claire Donnat & Susan Holmes, 2023. "Modeling the heterogeneity in COVID-19's reproductive number and its impact on predictive scenarios," Journal of Applied Statistics, Taylor & Francis Journals, vol. 50(11-12), pages 2518-2546, September.
    18. Nie, Yanyi & Li, Wenyao & Pan, Liming & Lin, Tao & Wang, Wei, 2022. "Markovian approach to tackle competing pathogens in simplicial complex," Applied Mathematics and Computation, Elsevier, vol. 417(C).
    19. Li, Wenyao & Cai, Meng & Zhong, Xiaoni & Liu, Yanbing & Lin, Tao & Wang, Wei, 2023. "Coevolution of epidemic and infodemic on higher-order networks," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
    20. Unai Alvarez-Rodriguez & Federico Battiston & Guilherme Ferraz Arruda & Yamir Moreno & Matjaž Perc & Vito Latora, 2021. "Evolutionary dynamics of higher-order interactions in social networks," Nature Human Behaviour, Nature, vol. 5(5), pages 586-595, May.
    21. Glenn Ellison, 2024. "Implications of heterogeneous SIR models for analyses of COVID-19," Review of Economic Design, Springer;Society for Economic Design, vol. 28(4), pages 651-687, December.
    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. 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).
    2. Ma, Ning & Yu, Guang & Jin, Xin, 2024. "Dynamics of competing public sentiment contagion in social networks incorporating higher-order interactions during the dissemination of public opinion," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    3. Chang, Xin & Cai, Chao-Ran & Zhang, Ji-Qiang & Yang, Wen-Li, 2024. "The universality of physical images at relative timescales on multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    4. Federico Malizia & Santiago Lamata-Otín & Mattia Frasca & Vito Latora & Jesús Gómez-Gardeñes, 2025. "Hyperedge overlap drives explosive transitions in systems with higher-order interactions," Nature Communications, Nature, vol. 16(1), pages 1-10, December.
    5. Nie, Yanyi & Li, Wenyao & Pan, Liming & Lin, Tao & Wang, Wei, 2022. "Markovian approach to tackle competing pathogens in simplicial complex," Applied Mathematics and Computation, Elsevier, vol. 417(C).
    6. Nie, Yanyi & Zhong, Xiaoni & Lin, Tao & Wang, Wei, 2022. "Homophily in competing behavior spreading among the heterogeneous population with higher-order interactions," Applied Mathematics and Computation, Elsevier, vol. 432(C).
    7. Wang, Hainan & Zhang, Jiliang & Luo, Qiyao & Han, Xiao-Pu & Cui, Longqing & Wu, Ruirui & Gong, Lei & Liu, Yanni & Meng, Fanyuan, 2025. "Evolutionary dynamics of threshold public goods games on random hypergraphs," Chaos, Solitons & Fractals, Elsevier, vol. 199(P1).
    8. 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).
    9. Liu, Maoxing & Ren, Xuejie & Peng, Yu & Sun, Yongzheng, 2024. "The dynamical analysis of simplicial SAIS epidemic model with awareness programs by media," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 649(C).
    10. Li, Wenyao & Cai, Meng & Zhong, Xiaoni & Liu, Yanbing & Lin, Tao & Wang, Wei, 2023. "Coevolution of epidemic and infodemic on higher-order networks," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
    11. Zhou, Qiao & Duan, Xiaochang & Yu, Guang, 2025. "Research on dynamic modeling and control mechanisms of rumor spread considering high-order interactions and counter-rumor groups," Chaos, Solitons & Fractals, Elsevier, vol. 197(C).
    12. Malizia, Federico & Gallo, Luca & Frasca, Mattia & Kiss, István Z. & Latora, Vito & Russo, Giovanni, 2025. "A pair-based approximation for simplicial contagion," Chaos, Solitons & Fractals, Elsevier, vol. 199(P3).
    13. 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).
    14. Song, Jiahui & Gong, Zaiwu, 2026. "The power of gaps: Multilayer mechanisms and source tracing of complex dynamics in higher-order networks," Applied Mathematics and Computation, Elsevier, vol. 508(C).
    15. Li, Tianyu & Wu, Yong & Ding, Qianming & Xie, Ying & Yu, Dong & Yang, Lijian & Jia, Ya, 2024. "Social contagion in high-order network with mutation," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
    16. Huo, Liang an & Li, Qing, 2025. "Influence of local and global effect on co-evolution of information-vaccination behavior-epidemic spread in multiple network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 675(C).
    17. Zhao, Dandan & Li, Runchao & Peng, Hao & Zhong, Ming & Wang, Wei, 2022. "Percolation on simplicial complexes," Applied Mathematics and Computation, Elsevier, vol. 431(C).
    18. Zhang, Ziyu & Mei, Xuehui & Jiang, Haijun & Luo, Xupeng & Xia, Yang, 2023. "Dynamical analysis of Hyper-SIR rumor spreading model," Applied Mathematics and Computation, Elsevier, vol. 446(C).
    19. Tan, Jipeng & Zhang, Man & Liu, Fengming, 2024. "Online-Offline Higher-Order Rumor Propagation Model Based on Quantum Cellular Automata Considering Social Adaptation," Applied Mathematics and Computation, Elsevier, vol. 461(C).
    20. Chen, Lei & Lu, Juntao & Wang, Yalin & Jia, Chunxiao & Liu, Run-Ran & Meng, Fanyuan, 2025. "Cascading failures with group support in interdependent hypergraphs," Chaos, Solitons & Fractals, Elsevier, vol. 192(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:chsofr:v:199:y:2025:i:p2:s0960077925008513. 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: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    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.