Some Comments on the Question Whether Co-Occurrence Data Should Be Normalized
2008-03-25Research Paper
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ERIM Report Series Research in Management
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In a recent article in JASIST, L. Leydesdorff and L. Vaughan (2006) asserted that raw cocitation data should be analyzed directly, without first applying a normalization such as the Pearson correlation. In this communication, 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
- Pearson correlation
- author cocitation analysis
- multidimensional scaling
- PROXSCAL
- co-occurrence data
- normalization
Classifications using
Erasmus University JEL ontology
- M : Business Administration and Business Economics; Marketing; Accounting
- C39 : Econometric Methods: Multiple/Simultaneous Equation Models; Multiple Variables: Other
- M11 : Production Management
- R4 : Transportation Systems
Automaticly Extracted Terms
- cocitation
- vaughan
- leydesdorff
- pearson correlation
- cocitation data
- author
- cocitation matrix
- matrix
- information science
- figure
- pearson
- correlation
- vaughan article
- american society
- research
- information
- article
- proxscal
- version
- transformation
