Some Comments on the Question Whether Co-occurrence Data Should Be Normalized
AbstractIn 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper 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.
Date of creation: 28 Mar 2007
Date of revision:
Contact details of provider:
Web page: http://www.erim.eur.nl/
Multidimensional scaling; Author cocitation analysis; Co-occurrence data; Normalization; PROXSCAL; Pearson correlation;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2007-04-09 (All new papers)
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (ERIM Series Handler at the ERIM Office).
If references are entirely missing, you can add them using this form.