Algoritmos para solventar la falta de normalizacion de nombres de autor en los estudios bibliometricos. / Algorithms to solve the lack of normalization in author names in bibliometric studies

Two algorithms to detect and solve normalization problems of author names in data originated in Thomson's ISI Science Citation Index are presented. The first algorithm allows detection of different names which could belong to the same person. The second one, based on the degree of similarity be...

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Bibliographic Details
Published inInvestigación bibliotecológica Vol. 21; no. 42; pp. 13 - 32
Main Authors Costas, Rodrigo, Bordons, Maria
Format Journal Article
LanguageEnglish
Spanish
Published Universidad Nacional Autónoma de México 01.06.2007
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ISSN0187-358X

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Summary:Two algorithms to detect and solve normalization problems of author names in data originated in Thomson's ISI Science Citation Index are presented. The first algorithm allows detection of different names which could belong to the same person. The second one, based on the degree of similarity between two variants of the same name on a document, helps to determine whether two similar names correspond or not to the same person. In order to determine the efficacy of the algorithms, a control of normalized author data from a previous study has been used. The First algorithm detects 67% of name variants existing in the population under study, and the second one was successful in 74% of the cases. Adapted from the source document.
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ISSN:0187-358X