Some Comments on the Question Whether Co-occurrence Data Should Be Normalized

Ludo Waltman and Nees Jan van Eck

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: In a recent paper in the Journal of the American Society for Information Science and Technology, Leydesdorff and Vaughan assert that raw cocitation data should be analyzed directly, without first applying a normalization like the Pearson correlation. In this report, it is argued that there is nothing wrong with the widely adopted practice of normalizing cocitation data. One of the arguments put forward by Leydesdorff and Vaughan turns out to depend crucially on incorrect multidimensional scaling maps that are due to an error in the PROXSCAL program in SPSS.

Keywords: Author cocitation analysis; Co-occurrence data; Multidimensional scaling; Normalization; PROXSCAL; Pearson correlation (search for similar items in EconPapers)
JEL-codes: C89 M R4 (search for similar items in EconPapers)
Date: 2007-03-28
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Citations: View citations in EconPapers (6)

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