Clustering methodologies for identifying country core competencies

Ronald N. Kostoff, J. Antonio Del Río, Héctor D. Cortés, Charles Smith, Andrew Smith, Caroline Wagner, Loet Leydesdorff, George Karypis, Guido Malpohl, Rene Tshiteya

Research output: Contribution to journalArticle

15 Scopus citations

Abstract

The technical structure of the Mexican science and technology literature was determined. A representative database of technical articles was extracted from the Science Citation Index for the year 2002, with each article containing at least one author with a Mexican address. Many different manual and statistical clustering methods were used to identify the structure of the technical literature (especially the science and technology core competencies), and to evaluate the strengths and weaknesses of each technique. Each method is summarized, and its results presented.

Original languageEnglish (US)
Pages (from-to)21-40
Number of pages20
JournalJournal of Information Science
Volume33
Issue number1
DOIs
StatePublished - Feb 2007

Keywords

  • Bibliometrics
  • CLUTO
  • Computational linguistics
  • Concept clustering
  • Core competencies
  • Data compression
  • Document clustering
  • Factor analysis
  • Greedy string tiling
  • Leximancer
  • Mexico
  • Network analysis
  • Research evaluation
  • Science and technology

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    Kostoff, R. N., Del Río, J. A., Cortés, H. D., Smith, C., Smith, A., Wagner, C., Leydesdorff, L., Karypis, G., Malpohl, G., & Tshiteya, R. (2007). Clustering methodologies for identifying country core competencies. Journal of Information Science, 33(1), 21-40. https://doi.org/10.1177/0165551506067124