IDEAS home Printed from https://ideas.repec.org/a/igg/jcbpl0/v5y2015i4p53-61.html
   My bibliography  Save this article

Probabilistic Relation between Triadic Closure and the Balance of Social Networks in Presence of Influence

Author

Listed:
  • Rahul Saha

    (Lovely Professional University, Phagwara, India)

  • G. Geetha

    (Lovely Professional University, Phagwara, India)

  • Gulshan Kumar

    (Lovely Professional University, Phagwara, India)

Abstract

Data analysis in social networking is a major research concern in todays' environment in the field of interpretation models of data for any network. Social networking includes only two types of relationships: firstly, a friendly relation with whom one is having a link that can be considered as a positive relation and secondly, a relationship with which one is not connected or so called one's enemies labelled as negative relationships. Balanced theorem of social networking claims that all the nodes in the social network can be divided into two sets: a friendship set and an enemy set and provides the global view of relationships. In this paper, the authors have shown a probabilistic model to show that the global view of social links does not only depend on negative and positive relations to be distinguished, but it also depends on influences parameters.

Suggested Citation

  • Rahul Saha & G. Geetha & Gulshan Kumar, 2015. "Probabilistic Relation between Triadic Closure and the Balance of Social Networks in Presence of Influence," International Journal of Cyber Behavior, Psychology and Learning (IJCBPL), IGI Global, vol. 5(4), pages 53-61, October.
    • Handle: RePEc:igg:jcbpl0:v:5:y:2015:i:4:p:53-61
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJCBPL.2015100104
    Download Restriction: no
    ---><---

    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:igg:jcbpl0:v:5:y:2015:i:4:p:53-61. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.