Detecting the intellectual structure of library and information science based on formal concept analysis
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  • 作者:Ping Liu ; Qiong Wu ; Xiangming Mu ; Kaipeng Yu ; Yiting Guo
  • 关键词:Formal concept analysis ; Intellectual structure ; Library and information science
  • 刊名:Scientometrics
  • 出版年:2015
  • 出版时间:September 2015
  • 年:2015
  • 卷:104
  • 期:3
  • 页码:737-762
  • 全文大小:1,179 KB
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    Mustafee, N., Katsaliaki, K., & Fishwick, P. (2
  • 作者单位:Ping Liu (1)
    Qiong Wu (1)
    Xiangming Mu (2)
    Kaipeng Yu (1)
    Yiting Guo (1)

    1. School of Information Management, Wuhan University, Wuhan, 430072, People’s Republic of China
    2. School of Information Studies, University of Wisconsin-Milwaukee, Milwaukee, WI, 53102, USA
  • 刊物主题:Information Storage and Retrieval; Library Science; Interdisciplinary Studies;
  • 出版者:Springer Netherlands
  • ISSN:1588-2861
文摘
Detecting intellectual structure of a knowledge domain is valuable to track the dynamics of scientific research. Formal concept analysis (FCA) provides a new perspective for knowledge discovery and data mining. In this paper we introduce a FCA-based approach to detect intellectual structure of library and information science (LIS). Our approach relies on the mathematical theory which formulates the understanding of “concept-as a unit of extension (scholars) and intension (keywords) as a way of modelling the intellectual structure of a domain. By analyzing the papers published in sixteen prominent journals of LIS domain from 2001 to 2013, the intellectual structure of LIS in the new century has been identified and visualized. Nine major research themes of LIS were detected together with the core keywords and authors to describe each theme. The significant advantage of our approach is that the mathematical formulae produce a conceptual structure which automatically provides generalization and specialization relationships among the concepts. This provides additional information not available from other methods, especially when shared interests of authors from different granularities are also visualized in concept lattice.

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