IDEAS home Printed from https://ideas.repec.org/a/ids/ijbisy/v27y2018i4p411-432.html
   My bibliography  Save this article

Patterns affecting structural properties of social networking site 'Twitter'

Author

Listed:
  • Vinay Singh
  • Anurag Singh
  • Divya Jain
  • Vimal Kumar
  • Pratima Verma

Abstract

Online social networking platforms are kind of complex networks where users are treated as nodes for interactions among them. Understanding such complex network is critical to enhance their existing frameworks and important to incorporate new future applications. Thus, a mixing network pattern is possible due to the diversified geographic locations on user. The present study is focused on measuring assortativity coefficient of network complexity and its effect on the structural properties of the network. We examined crawled users data (group wise) gathered from 'Twitter' by using open source API. Among the group, all the users are ranked according to their followers count. As part of algorithmic process, the assortativity coefficient is calculated in various steps by removing few nodes randomly from the existing network group. It is found that network is resilient to the deletion of highest degree nodes and assortativity is indeed present in network.

Suggested Citation

  • Vinay Singh & Anurag Singh & Divya Jain & Vimal Kumar & Pratima Verma, 2018. "Patterns affecting structural properties of social networking site 'Twitter'," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 27(4), pages 411-432.
    • Handle: RePEc:ids:ijbisy:v:27:y:2018:i:4:p:411-432
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=90286
    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:ijbisy:v:27:y:2018:i:4:p:411-432. 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=172 .

    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.