Optimizing SCImago Journal & Country Rank classification by community detection

Subject classification arises as an important topic for bibliometrics and scientometrics, searching to develop reliable and consistent tools and outputs. Such objectives also call for a well delimited underlying subject classification scheme that adequately reflects scientific fields. Within the broad ensemble of classification techniques, clustering analysis is one of the most successful.

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Year of publication:	2014
Authors:	Gómez-Núñez, Antonio J. ; Batagelj, Vladimir ; Vargas-Quesada, Benjamín ; Moya-Anegón, Félix ; Chinchilla-Rodríguez, Zaida
Published in:	Journal of Informetrics. - Elsevier, ISSN 1751-1577. - Vol. 8.2014, 2, p. 369-383
Publisher:	Elsevier
Subject:	Community detection \| Clustering \| SCImago Journal & Country Rank \| Journal classification \| Citation-based network

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

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