• DocumentCode
    3705062
  • Title

    Extracting academic social networks among conference participants

  • Author

    Tasleem Arif;M. Asger; Majid Bashir Malik;Rashid Ali

  • Author_Institution
    Deptt. of Info. Technology, BGSB University, Rajouri, J&K, India
  • fYear
    2015
  • Firstpage
    42
  • Lastpage
    47
  • Abstract
    Academics establish relations among them in multitude ways, co-authorship being one of them. In fact co-authorship has the advantage of being the best recorded among all forms of academic collaborations. Co-authored publications appear in the form of research articles, conference and workshop proceedings, technical reports, etc. As per DBLP, one of the major digital libraries, around 55 percent of the publications appear in conference and workshop proceedings. This implies that conference and workshops provide a rich environment for academics to portray their co-authorship based academic social networks. In this paper we extract academic social networks among conference participants, study their collaboration patterns, analyze their evolution over time and use social network analysis metrics to quantify them.
  • Keywords
    "Collaboration","Social network services","Data mining","Metadata","Measurement","Information technology","Computer science"
  • Publisher
    ieee
  • Conference_Titel
    Contemporary Computing (IC3), 2015 Eighth International Conference on
  • Print_ISBN
    978-1-4673-7947-2
  • Type

    conf

  • DOI
    10.1109/IC3.2015.7346650
  • Filename
    7346650