2,392 research outputs found

    Appropriate Similarity Measures for Author Cocitation Analysis

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    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

    Letter to the editor: Reply to J. J. Child, Crim. L.R. 2010, 12, 924-932

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    Responds to J.J. Child's article in this issue criticising the conclusions reach by the author in his article "The conflict between the Serious Crime Act 2007 and section 1(4)(b) Criminal Attempts Act 1981 - a missed repeal?", (Crim. L.R. 2010, 6, 483-488)

    Some Comments on the Question Whether Co-occurrence Data Should Be Normalized

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    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

    Some Comments on the Question Whether Co-Occurrence Data Should Be Normalized

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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.multidimensional scaling;PROXSCAL;Pearson correlation;author cocitation analysis;co-occurrence data;normalization

    I. Nota betreffende de bemaling van de Drentsche hoofdvaart, opgemaakt door den ingenieur van den Rijkswaterstaat dr. L.R. Wentholt: II. Nota over het proefheien van houten en ijzeren damwand te Linne, opgemaakt door den ingenieur van den Rijkswaterstaat F. Volker

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    Eisen waaraan gemalen moeten voldoen, beschrijving van de soorten gemalen, aandrijving, ontwerp en exploitatie. Prototyoe proef met ijzeren en houten damwanden bij de sluis te Linne
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