IDEAS home Printed from https://ideas.repec.org/a/wsi/ijmpcx/v35y2024i03ns0129183124500232.html
   My bibliography  Save this article

Epidemic spreading dynamics on two-layer complex networks

Author

Listed:
  • Jinlong Ma

    (School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, P. R. China2Hebei Technology Innovation Center of Intelligent IoT, Shijiazhuang 050018, P. R. China)

  • Tingting Xiang

    (School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, P. R. China2Hebei Technology Innovation Center of Intelligent IoT, Shijiazhuang 050018, P. R. China)

  • Yongbin Zhao

    (School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang 050043, P. R. China)

Abstract

Recent studies have shown that many real-world systems can be described by multi-layer complex networks. In this paper, the concept of layers is introduced to construct a traffic-driven SIR epidemic spreading model on “logical-physical†layered network. Based on the peak density of infected nodes and the ultimate density of recovered nodes, we investigate the features of epidemic spreading on layered network. Through numerical simulations, it is shown that traffic flow greatly influences the intensity and scope of epidemic spreading. By comparing the effects of four kinds of two-layer networks generated by ER random network model and BA scale-free network model on epidemic spreading, we found that the homogeneity of logical or physical network structure can promote the spread of epidemic more than heterogeneous networks. This work may be of service to design traffic-driven epidemic prevention and control strategies.

Suggested Citation

  • Jinlong Ma & Tingting Xiang & Yongbin Zhao, 2024. "Epidemic spreading dynamics on two-layer complex networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 35(03), pages 1-13, March.
    • Handle: RePEc:wsi:ijmpcx:v:35:y:2024:i:03:n:s0129183124500232
    DOI: 10.1142/S0129183124500232
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0129183124500232
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0129183124500232?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.

    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:wsi:ijmpcx:v:35:y:2024:i:03:n:s0129183124500232. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijmpc/ijmpc.shtml .

    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.