• DocumentCode
    553207
  • Title

    Exploration of social science´s compactness by cluster analysis

  • Author

    YunFeng Chang ; Yuan Zhao ; ShengQin Feng

  • Author_Institution
    Coll. of Sci., China Three Gorges Univ., Yichang, China
  • Volume
    3
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    2031
  • Lastpage
    2034
  • Abstract
    In this paper, we proposed to explore the compactness of social science by cluster analysis. In terms of the aggregated journal-journal citation reports of the Institute of Scientific Information (ISI), 1578 social science journals are clustered by an emerging hierarchical clustering method with single-link, complete-link and average-link as cluster-cluster similarities. The statistical properties of the clustering results, detailed comparisons of the clustering results and graph-theoretic interpretations show that social science has little interdisciplinary property, which demonstrates the intra-domain compactness of social science.
  • Keywords
    citation analysis; graph theory; pattern clustering; social sciences; statistical analysis; aggregated journal-journal citation report; cluster-cluster similarity; emerging hierarchical clustering method; graph-theoretic interpretation; interdisciplinary property; intradomain compactness; social science compactness; social science journal; statistical property; Clustering methods; Complex networks; Educational institutions; Knowledge engineering; Physics; Presses; Probability distribution; cluster analysis; compactness; interdisciplinarity; scientific domain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-61284-180-9
  • Type

    conf

  • DOI
    10.1109/FSKD.2011.6019876
  • Filename
    6019876