• DocumentCode
    557212
  • Title

    Trend analysis of virtual community productivity based on SSCI database by bibliometric methodology

  • Author

    Lin, Chien-Liang ; Yen, Wan-Chu ; Yang, Heng-Li

  • Author_Institution
    Dept. Manage. Inf. Syst., Nat. Cheng Chi Univ., Taipei, Taiwan
  • Volume
    2
  • fYear
    2011
  • fDate
    24-26 Oct. 2011
  • Firstpage
    436
  • Lastpage
    441
  • Abstract
    As a popular phenomenon today, virtual community is significantly altering people who work, spend their free time and interact socially. Furthermore, virtual community has been receiving a growing attention in the academic literature. This study aims to investigate the current state of the academic literature regarding virtual community and analyze its knowledge base by using bibliometric method. All articles were collected from SSCI database during 1994-2010. The result indicated that the literature productivity on virtual community topic is still growing. The result also found that the author productivity distribution data related to virtual community matched Lotka´s law. Moreover, the twenty-eight core journals in virtual community issue were identified utilizing the Bradford´s law.
  • Keywords
    information analysis; Bradford´s law; Lotka´s law; SSCI database; bibliometric methodology; productivity distribution; trend analysis; virtual community productivity; Bibliometrics; Communities; Computer science; Educational institutions; Productivity; Social network services; Bibliometric; Bradford´s law; Lotka´s law; virtual community;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Service Science (NISS), 2011 5th International Conference on New Trends in
  • Conference_Location
    Macao
  • Print_ISBN
    978-1-4577-0665-3
  • Type

    conf

  • Filename
    6093470