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An Experimental Comparison of Bibliometric Mapping Techniques. Nees Jan van Eck , Ludo Waltman, Rommert Dekker Erasmus University Rotterdam, The Netherlands {nvaneck,lwaltman,rdekker}@few.eur.nl Jan van den Berg Delft University of Technology, The Netherlands j.vandenberg@tudelft.nl
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An Experimental Comparison of Bibliometric Mapping Techniques Nees Jan van Eck, Ludo Waltman, Rommert Dekker Erasmus University Rotterdam, The Netherlands {nvaneck,lwaltman,rdekker}@few.eur.nl Jan van den Berg Delft University of Technology, The Netherlands j.vandenberg@tudelft.nl 10th International Conference on Science and Technology Indicators Vienna, September 18, 2008 1 1 1 1
Data sets • Journals in economics, management, and operations research • 2001-2005 • ISI categories: business; business, finance; economics; management; and operations research & management science • 376 journals • Terms in computational intelligence • 2001-2005 • 337 terms
Similarity measures • Other names for the association strength • probabilistic affinity index • proximity index
Mapping techniques • Ordinal MDS in SPSS PROXSCAL • VxOrd (DrL) • VxOrd1: top 10 similarities, edge cutting (default settings) • VxOrd2: all similarities, no edge cutting • VxOrd3: top 10 similarities, no edge cutting
Comparison of maps (journals) • MDS clearly performs worst, with no good separation between journals from different fields • As is typical for MDS, journals are located more or less uniformly distributed within a circle • VxOrd3 and VOS perform quite well, with a clear clustering of journals based on their field 13
Robustness and efficiency (journals) • MDS and VxOrd1 have a low robustness and efficiency • The other techniques do much better 14
Conclusions • No complete specification of VxOrd is available in the literature 22