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

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Author Info
Waltman, L.R.
Eck, N.J.P. van (Erasmus Research Institute of Management (ERIM), RSM Erasmus University)
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.

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Paper provided by 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. in its series Research Paper with number ERS-2007-017-LIS Revision_Date: 2009-07-29.

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Date of creation: 28 Mar 2007
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Handle: RePEc:dgr:eureri:300010398

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Related research
Keywords: Co-occurrence data; Author cocitation analysis; Normalization; Pearson correlation; Multidimensional scaling; PROXSCAL;

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This page was last updated on 2009-12-23.


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