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.

Additional Metadata
Keywords Author cocitation analysis, Co-occurrence data, Multidimensional scaling, Normalization, PROXSCAL, Pearson correlation
JEL Data Collection and Data Estimation Methodology; Computer Programs: Other (jel C89), Business Administration and Business Economics; Marketing; Accounting (jel M), Transportation Systems (jel R4)
Publisher Erasmus Research Institute of Management
Persistent URL hdl.handle.net/1765/9401
Series ERIM Report Series Research in Management
Journal ERIM report series research in management Erasmus Research Institute of Management
Citation
Waltman, L, & van Eck, N.J.P. (2007). Some Comments on the Question Whether Co-occurrence Data Should Be Normalized (No. ERS-2007-017-LIS). ERIM report series research in management Erasmus Research Institute of Management. Erasmus Research Institute of Management. Retrieved from http://hdl.handle.net/1765/9401