IDEAS home Printed from https://ideas.repec.org/a/wsi/ijmpcx/v35y2024i03ns0129183124500281.html
   My bibliography  Save this article

Rumor propagation model with neutral state

Author

Listed:
  • Xinran Qiao

    (��Tianjin University, Tianjin 300072, P. R. China‡The Institute of Artificial Intelligence, Hefei Comprehensive National Science Center Hefei 230088, P. R. China)

  • Lanjun Wang

    (��Tianjin University, Tianjin 300072, P. R. China‡The Institute of Artificial Intelligence, Hefei Comprehensive National Science Center Hefei 230088, P. R. China)

  • Xiaowen Wang

    (��Tianjin University, Tianjin 300072, P. R. China‡The Institute of Artificial Intelligence, Hefei Comprehensive National Science Center Hefei 230088, P. R. China)

  • Mengxiao Zhu

    (�University of Science and Technology of China, Hefei 230026, P. R. China)

  • Bo Hu

    (�University of Science and Technology of China, Hefei 230026, P. R. China)

  • Yongdong Zhang

    (�University of Science and Technology of China, Hefei 230026, P. R. China)

  • A.-A. Liu

    (��Tianjin University, Tianjin 300072, P. R. China‡The Institute of Artificial Intelligence, Hefei Comprehensive National Science Center Hefei 230088, P. R. China)

Abstract

The development of social networks provides a broad platform for the dissemination of information and also leads to the proliferation of fake news and false information, which we collectively refer to as rumors. The spread of rumors causes unnecessary panic and loss to individuals and society. To reduce the negative impacts of rumors, an appropriate rumor control strategy is necessary. To come up with some reasonable strategies, we need to have a clearer understanding of the spread of rumors. In this paper, we analyze crowd attitudes during the spreading of rumors by setting the misinformation prevalent progress on the social network as a dynamic system. Considering that most people do not have a clear supportive or opposing attitude when exposed to rumor information, we introduce a new group, stiflers who remain neutral, based on the infectious disease model scheme. By deriving the mean-field equation describing the rumor propagation process, we judge the stability of the constructed model. Finally, we use the model to fit the real-world data related to COVID-19, and based on this, we discuss the properties of the model and propose related strategies.

Suggested Citation

  • Xinran Qiao & Lanjun Wang & Xiaowen Wang & Mengxiao Zhu & Bo Hu & Yongdong Zhang & A.-A. Liu, 2024. "Rumor propagation model with neutral state," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 35(03), pages 1-17, March.
    • Handle: RePEc:wsi:ijmpcx:v:35:y:2024:i:03:n:s0129183124500281
    DOI: 10.1142/S0129183124500281
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0129183124500281
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0129183124500281?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:35:y:2024:i:03:n:s0129183124500281. 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.