Clustering methodologies for identifying country core competencies

Authors:
Ronald N. Kostoff;J. Antonio Del Río;Héctor D. Cortés;Charles Smith;Andrew Smith;Caroline Wagner;Loet Leydesdorff;George Karypis;Guido Malpohl;Rene Tshiteya
Affiliations:
Office of Naval Research, Arlington, VA 22217 USA;Centro de Investigación en Energía, UNAM, Temixco, Mor. México;Centro de Investigación en Energía, UNAM, Temixco, Mor. México;Booz-Allen Hamilton, Bethesda, MD 20852, USA;University of Queensland, Queensland, Australia;University of Ámsterdam, Amsterdam, The Netherlands;University of Ámsterdam, Amsterdam, The Netherlands;University of Minnesota, Minneapolis, MN 55455, USA;University of Karlsruhe, Postfach 6980, 76128 Karlsruhe, Germany;DDL-OMNI Engineering, LLC, 8260 Greensboro Drive, Suite 600, Mclean, VA 22102, USA
Venue:
Journal of Information Science
Year:
2007

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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.