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  • 标题:Analysis of High Degree Nodes in a Social Network
  • 本地全文:下载
  • 作者:Javed, H. ; Sengar, G ; Akhtar, N
  • 期刊名称:International Journal of Electronics Communication and Computer Engineering
  • 印刷版ISSN:2249-071X
  • 电子版ISSN:2278-4209
  • 出版年度:2013
  • 卷号:4
  • 期号:3
  • 页码:1031-1034
  • 出版社:IJECCE
  • 摘要: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.
  • 关键词:Facebook; Social Network Analysis; Online Social Network Platforms
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