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An Informetric Analysis on Intellectual Structures with Multiple Features of Academic Library Research Papers

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2011, 28(2), pp.65~78
  • DOI : 10.3743/KOSIM.2011.28.2.065
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : May 17, 2011
  • Accepted : June 8, 2011
  • Published : June 30, 2011

Sanghee Choi 1

1대구가톨릭대학교

Accredited

ABSTRACT

The purpose of this study is to identify topic areas of academic library research using two informetric methods; word clustering and Pathfinder network. For the data analysis, 139 articles published in major library and information science journals from 2005 to 2009 were collected from the Korean Science Citation Index database. The keywords that represent research topics were gathered from two sections: an abstract and titles in references. Results showed that reference titles usefully represent topics in detail, and combining abstracts and reference titles can produce an expanded topic map.

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