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Automatic term identification for bibliometric mapping

Author

Listed:
  • Nees Jan Eck

    (Erasmus University Rotterdam
    Leiden University)

  • Ludo Waltman

    (Erasmus University Rotterdam
    Leiden University)

  • Ed C. M. Noyons

    (Leiden University)

  • Reindert K. Buter

    (Leiden University)

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.

Suggested Citation

  • Nees Jan Eck & Ludo Waltman & Ed C. M. Noyons & Reindert K. Buter, 2010. "Automatic term identification for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 581-596, March.
    • Handle: RePEc:spr:scient:v:82:y:2010:i:3:d:10.1007_s11192-010-0173-0
    DOI: 10.1007/s11192-010-0173-0
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    References listed on IDEAS

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    1. E. C. M. Noyons & A. F. J. van Raan, 1998. "Monitoring scientific developments from a dynamic perspective: Self‐organized structuring to map neural network research," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(1), pages 68-81.
    2. Jesper W. Schneider, 2006. "Concept symbols revisited: Naming clusters by parsing and filtering of noun phrases from citation contexts of concept symbols," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 573-593, September.
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    4. Hajime Eto, 2000. "Authorship and Citation Patterns in Operational Research Journals in Relation to Competition and Reform," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(1), pages 25-42, January.
    5. van Eck, N.J.P. & Waltman, L. & Noyons, E.C.M. & Buter, R.K., 2008. "Automatic Term Identification for Bibliometric Mapping," ERIM Report Series Research in Management ERS-2008-081-LIS, 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.
    6. Nees Jan van Eck & Ludo Waltman, 2009. "How to normalize cooccurrence data? An analysis of some well‐known similarity measures," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(8), pages 1635-1651, August.
    7. van Eck, N.J.P. & Waltman, L., 2009. "VOSviewer: A Computer Program for Bibliometric Mapping," ERIM Report Series Research in Management ERS-2009-005-LIS, 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.
    8. Hajime Eto, 2002. "Authorship and citation patterns in Management Science in comparison with operational research," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(3), pages 337-349, March.
    9. van Eck, N.J.P. & Waltman, L., 2007. "Bibliometric Mapping of the Computational Intelligence Field," ERIM Report Series Research in Management ERS-2007-027-LIS, 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.
    10. Peters, H. P. F. & van Raan, A. F. J., 1993. "Co-word-based science maps of chemical engineering. Part I: Representations by direct multidimensional scaling," Research Policy, Elsevier, vol. 22(1), pages 23-45, February.
    11. van Eck, N.J.P. & Waltman, L., 2009. "How to Normalize Co-Occurrence Data? An Analysis of Some Well-Known Similarity Measures," ERIM Report Series Research in Management ERS-2009-001-LIS, 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.
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