IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-00387519.html
   My bibliography  Save this paper

Web users networks modeling by Stochastic Petri Net : the wish list case

Author

Listed:
  • Christine Balagué

    (LEM - Lille - Economie et Management - Université de Lille, Sciences et Technologies - CNRS - Centre National de la Recherche Scientifique)

Abstract

This paper introduces Stochastic Petri nets to model the dynamics of Web site visits andpurchase behaviors in the case of a Web users network: the wish list system. We describe Web site activities and their transition with probability distributions and model the sequential impact of influential factors through links that better explain Web purchase behavior dynamics. The basic model, which analyzes site connections and purchases to explain visit and purchase behavior, performs better than a classical negative binomial regression model.We finally present the advantages of Petri net model and its potential to model marketing applications.

Suggested Citation

  • Christine Balagué, 2005. "Web users networks modeling by Stochastic Petri Net : the wish list case," Post-Print hal-00387519, HAL.
    • Handle: RePEc:hal:journl:hal-00387519
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:hal:journl:hal-00387519. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.