Automatic term identification for bibliometric mapping

Nees Jan Eck (), Ludo Waltman, Ed C. M. Noyons and Reindert K. Buter
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Nees Jan Eck: Erasmus University Rotterdam
Ludo Waltman: Erasmus University Rotterdam
Ed C. M. Noyons: Leiden University
Reindert K. Buter: Leiden University

Scientometrics, 2010, vol. 82, issue 3, No 12, 596 pages

Abstract: Abstract A term map is a map that visualizes the structure of a scientific field by showing the relations between important terms in the field. The terms shown in a term map are usually selected manually with the help of domain experts. Manual term selection has the disadvantages of being subjective and labor-intensive. To overcome these disadvantages, we propose a methodology for automatic term identification and we use this methodology to select the terms to be included in a term map. To evaluate the proposed methodology, we use it to construct a term map of the field of operations research. The quality of the map is assessed by a number of operations research experts. It turns out that in general the proposed methodology performs quite well.

Keywords: Bibliometric mapping; Term map; Automatic term identification; Probabilistic latent semantic analysis; Operations research (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (44)

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DOI: 10.1007/s11192-010-0173-0

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