• Title of article

    Analysis of High Degree Nodes in a Social Network

  • Author/Authors

    Akhtar، Nadeem نويسنده AMU , , Javed، Hira نويسنده AMU , , Sengar، Geetanjali نويسنده AMU ,

  • Issue Information
    روزنامه با شماره پیاپی 3 سال 2013
  • Pages
    4
  • From page
    1031
  • To page
    1034
  • Abstract
    Online Social Network platforms(e.g. Facebook, LinkedIn, Flickr, Instant Messenger etc) provide a deeper comprehension of social networks and hence render the basis for social network analysis. The huge amount of data from these sites has given a boost to the researchers who examine a network from different perspectives through various SNA methods. The development of network analysis tools have further helped to extract actionable patterns which are useful for business, consumers, and users. This study is a part of the growing body of research on Social Network Analysis and make use of a Facebook network to analyze the attributes of high degree nodes (users having greater number of friends) and to uncover the hidden relationships of that network. Results show that there is little association among high degree nodes
  • Journal title
    International Journal of Electronics Communication and Computer Engineering
  • Serial Year
    2013
  • Journal title
    International Journal of Electronics Communication and Computer Engineering
  • Record number

    2002215