Automatic Term Identification for Bibliometric Mapping

Nees Jan van Eck, Ludo Waltman, Ed Noyons and Reindert Buter

ERIM Report Series Research in Management from Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam

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: automatic term identification; bibliometric mapping; operations research; probabilistic latent semantic analysis; term map (search for similar items in EconPapers)
JEL-codes: C89 M M11 R4 (search for similar items in EconPapers)
Date: 2008-12-03
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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