• DocumentCode
    1756246
  • Title

    Characterizing the Evolution of Social Computing Research

  • Author

    Tao Wang ; Zhong Liu ; Baoxin Xiu ; Hong Mo ; Qingpeng Zhang

  • Author_Institution
    Nat. Univ. of Defense Technol., Changsha, China
  • Volume
    29
  • Issue
    5
  • fYear
    2014
  • fDate
    Sept.-Oct. 2014
  • Firstpage
    48
  • Lastpage
    56
  • Abstract
    With Web 2.0 advances, social computing has become an emerging research field in the past decade. This article analyzes the characteristics of social computing research from both static and dynamic perspectives. First, the authors present the overlapping relationships of content represented by keywords as of 2011. Next, they show the dynamics of social computing research through analyzing keyword trends and topological evolution of co-word networks. The article characterizes the key features and the evolution of social computing from a quantitative perspective.
  • Keywords
    information analysis; social networking (online); Web 2.0; co-word networks; dynamic perspective; keyword trends analysis; quantitative perspective; social computing research; static perspective; Computational modeling; Market research; Media; Social network services; Social sciences; Technology forecasting; Web 2.0; co-word analysis; computational social science; intelligent systems; social computing; social software;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2013.121
  • Filename
    6662350