186,671 research outputs found
Vaughan R. Voller
Vaughan R. Voller, University of Minnesotahttps://digitalcommons.montclair.edu/sust-seminar-headshots/1029/thumbnail.jp
Vaughan R. Voller
Vaughan R. Voller, University of Minnesotahttps://digitalcommons.montclair.edu/sust-seminar-headshots/1044/thumbnail.jp
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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.Multidimensional scaling;Author cocitation analysis;Co-occurrence data;Normalization;PROXSCAL;Pearson correlation
Michael R. Vaughan honored with emeritus status
Michael R. Vaughan of Christiansburg, Va., professor of fisheries and wildlife sciences in the College of Natural Resources at Virginia Tech, has been conferred the "professor emeritus" title by the Virginia Tech Board of Visitors
Some Comments on the Question Whether Co-Occurrence Data Should Be Normalized
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.multidimensional scaling;PROXSCAL;Pearson correlation;author cocitation analysis;co-occurrence data;normalization
Kinetics and mechanism of unimolecular decomposition of 3-methyl-1para-tolyltriazene
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Vaughan (R.). John the Fearless. The growth of Burgundian power.
Prevenier Walter. Vaughan (R.). John the Fearless. The growth of Burgundian power.. In: Revue belge de philologie et d'histoire, tome 48, fasc. 2, 1970. Histoire (depuis l'Antiquité) — Geschiedenis (sedert de Oudheid) pp. 510-512
Van Caenegem (R. C). Geschiedenis van Engeland van Stonehenge tot het tijdperk der vakbonden, 's Gravenhage en Antwerpen
Vaughan Richard. Van Caenegem (R. C). Geschiedenis van Engeland van Stonehenge tot het tijdperk der vakbonden, 's Gravenhage en Antwerpen. In: Revue belge de philologie et d'histoire, tome 64, fasc. 4, 1986. Histoire - Geschiedenis. pp. 783-785
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