IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v305y2017icp364-380.html
   My bibliography  Save this article

Is this the end for Facebook? A mathematical analysis

Author

Listed:
  • DeLegge, Anthony
  • Wangler, Hannah

Abstract

Since the early 2000s, one of the most popular uses of the Internet has been for online social networking. Since 2009, the most popular online social network has been Facebook; roughly 80% of Internet users worldwide have a Facebook account as of the end of 2014. However, in early 2014, Princeton University graduate students Cannarella and Spechler released a manuscript which claimed that Facebook would decline in popularity to essential “death” by the end of 2017. This claim was based on results obtained from an adaptation of the classic SIR epidemic model. In this paper, we will explore a modified version of this model to take into account a changing population size and the possibility of people leaving the social network, but later returning, and compare this model and its results to those of the original model to either confirm or deny the result that Facebook will fade to obscurity by the end of 2017.

Suggested Citation

  • DeLegge, Anthony & Wangler, Hannah, 2017. "Is this the end for Facebook? A mathematical analysis," Applied Mathematics and Computation, Elsevier, vol. 305(C), pages 364-380.
  • Handle: RePEc:eee:apmaco:v:305:y:2017:i:c:p:364-380
    DOI: 10.1016/j.amc.2017.02.014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300317301182
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2017.02.014?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:eee:apmaco:v:305:y:2017:i:c:p:364-380. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    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.