IDEAS home Printed from https://ideas.repec.org/a/ids/ijdmmm/v9y2017i3p249-273.html
   My bibliography  Save this article

Multi-objective perception model for diffusion of information in social networks

Author

Listed:
  • Niloofar Mozafari
  • Ali Hamzeh
  • Sattar Hashemi

Abstract

Social networks have recently become important tools for sharing and exchanging data. They facilitate the rapid propagation and dissemination of information. Therefore, it is essential to provide means for analysing the phenomenon of diffusion in such networks. One of the most important components of a diffusion model is information perception which determines who each node receives its information from. Previous researches assumed the information perception to be based on a single objective, whereas in reality, there exist other objectives that affects the people's decision for selecting the neighbour who would supply information, which might conflict with each other, and modelling diffusion process with respect to a single objective can give rise to unacceptable results with respect to the other objectives. This paper presents a novel multi-objective perception model for diffusion of information, which is abbreviated as MOPDI. Considering different objectives simultaneously significantly enhances the proposed information diffusion model.

Suggested Citation

  • Niloofar Mozafari & Ali Hamzeh & Sattar Hashemi, 2017. "Multi-objective perception model for diffusion of information in social networks," International Journal of Data Mining, Modelling and Management, Inderscience Enterprises Ltd, vol. 9(3), pages 249-273.
  • Handle: RePEc:ids:ijdmmm:v:9:y:2017:i:3:p:249-273
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=86567
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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:ids:ijdmmm:v:9:y:2017:i:3:p:249-273. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=342 .

    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.