IDEAS home Printed from https://ideas.repec.org/a/hin/complx/6645113.html
   My bibliography  Save this article

Immunization of Cooperative Spreading Dynamics on Complex Networks

Author

Listed:
  • Jun Wang
  • Shi-Min Cai
  • Tao Zhou
  • Chenquan Gan

Abstract

Cooperative spreading dynamics on complex networks is a hot topic in the field of network science. In this paper, we propose a strategy to immunize some nodes based on their degrees. The immunized nodes disable the synergistic effect of cooperative spreading dynamics. We also develop a generalized percolation theory to study the final state of the spreading dynamics. By using the Monte Carlo method, numerical simulations reveal that immunizing nodes with a large degree cannot always be beneficial for containing cooperative spreading. For small values of transmission probability, immunizing hubs can suppress the spreading, while the opposite situation happens for large values of transmission probability. Furthermore, numerical simulations show that immunizing hubs increase the cost of the system. Finally, all numerical simulations can be well predicted by the generalized percolation theory.

Suggested Citation

  • Jun Wang & Shi-Min Cai & Tao Zhou & Chenquan Gan, 2021. "Immunization of Cooperative Spreading Dynamics on Complex Networks," Complexity, Hindawi, vol. 2021, pages 1-7, January.
    • Handle: RePEc:hin:complx:6645113
    DOI: 10.1155/2021/6645113
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/complexity/2021/6645113.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/complexity/2021/6645113.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2021/6645113?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
    ---><---

    Citations

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


    Cited by:

    1. Wang, Jun & Cai, Shimin & Wang, Wei & Zhou, Tao, 2023. "Link cooperation effect of cooperative epidemics on complex networks," Applied Mathematics and Computation, Elsevier, vol. 437(C).

    More about this item

    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:hin:complx:6645113. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.