IDEAS home Printed from https://ideas.repec.org/a/hin/complx/3457068.html
   My bibliography  Save this article

Dynamics Analysis of a Betel Nut Addiction Spreading Model on Scale-Free Networks

Author

Listed:
  • He Wang
  • Tao Li
  • Xinming Cheng
  • Yu Kong
  • Yangmei Lei

Abstract

Medical research has shown that overeating betel nut can be addictive and can damage health. More serious cases may cause mouth cancer and other diseases. Even worse, people’s behavior habit of chewing betel nut may influence each other through social interaction with direct or indirect ways, such as face-to-face communication, Facebook, Twitter, microblog, and WeChat, which leads to the spreading phenomenon of betel nut addiction. In order to investigate the dynamic spreading characteristics of betel nut addiction, a PMSR (Potential-Mild-Severe-Recovered) betel nut addiction spreading model is presented on scale-free networks. The basic reproductive number and equilibria are derived. Theoretical results indicate that the basic reproductive number is significantly dependent on the topology of the underlying networks, and some influence parameters. The existence of equilibria is determined by the basic reproductive number . Furthermore, we prove that if the addiction-elimination equilibrium is globally asymptotically stable. If , the betel nut addiction spreading is permanent, and the addiction-prevailing equilibrium is globally attractive. Finally, numerical simulations confirm the theoretical analysis results.

Suggested Citation

  • He Wang & Tao Li & Xinming Cheng & Yu Kong & Yangmei Lei, 2020. "Dynamics Analysis of a Betel Nut Addiction Spreading Model on Scale-Free Networks," Complexity, Hindawi, vol. 2020, pages 1-13, September.
  • Handle: RePEc:hin:complx:3457068
    DOI: 10.1155/2020/3457068
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/8503/2020/3457068.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/8503/2020/3457068.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2020/3457068?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
    ---><---

    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:3457068. 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.