Some comments on the question whether co‐occurrence data should be normalized | Zendy

Waltman Ludo | Zendy; Eck Nees Jan van | Zendy

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Some comments on the question whether co‐occurrence data should be normalized

Author(s) -

Waltman Ludo,

Eck Nees Jan van

Publication year - 2007

Publication title -

journal of the american society for information science and technology

Language(s) - English

Resource type - Journals

eISSN - 1532-2890

pISSN - 1532-2882

DOI - 10.1002/asi.20647

Subject(s) - normalization (sociology) , raw data , nothing , computer science , scaling , co occurrence , multidimensional scaling , data mining , statistics , mathematics , epistemology , natural language processing , sociology , social science , machine learning , philosophy , geometry

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.

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