IDEAS home Printed from https://ideas.repec.org/a/wsi/ijmpcx/v34y2023i12ns0129183123501620.html
   My bibliography  Save this article

Optimal control of a stochastic rumour propagation in online social networks

Author

Listed:
  • Kalaiselvi Myilsamy

    (Department of Applied Mathematics and Computational Sciences, PSG College of Technology, Coimbatore 641004, Tamil Nadu, India2Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai Tamil Nadu, India)

  • Muthukrishnan Senthil Kumar

    (Department of Applied Mathematics and Computational Sciences, PSG College of Technology, Coimbatore 641004, Tamil Nadu, India2Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai Tamil Nadu, India)

  • Athira Satheesh Kumar

    (Department of Applied Mathematics and Computational Sciences, PSG College of Technology, Coimbatore 641004, Tamil Nadu, India2Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai Tamil Nadu, India)

Abstract

The rapid development of social networks makes the rumour, other false news disseminate to the people in a short period. Online users in social networks are dynamically changing the connectivity over time. The effect of dynamic connections results in stochastic variation which is termed as noise. In this paper, a nonlinear rumour propagation model is formulated, the basic regeneration number R0 of the proposed model is computed and the stability for the model is discussed. Further, we extend the model to stochastic rumour propagation for online social networks incorporating noise. The existence and uniqueness of the stochastic rumour propagation for the homogeneous network are investigated. Optimal control strategy of stochastic rumour spreading model in online social network is investigated to control the parameters. A comparison between deterministic and stochastic rumour spreading model in online social network is numerically illustrated.

Suggested Citation

  • Kalaiselvi Myilsamy & Muthukrishnan Senthil Kumar & Athira Satheesh Kumar, 2023. "Optimal control of a stochastic rumour propagation in online social networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 34(12), pages 1-20, December.
  • Handle: RePEc:wsi:ijmpcx:v:34:y:2023:i:12:n:s0129183123501620
    DOI: 10.1142/S0129183123501620
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0129183123501620
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0129183123501620?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.

    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:34:y:2023:i:12:n:s0129183123501620. 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.