Some Comments on the Question Whether Co-occurrence Data Should Be Normalized
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|
|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|
|Series||ERIM Report Series Research in Management|
|Journal||ERIM report series research in management Erasmus Research Institute of Management|
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