Optimizing SCImago Journal & Country Rank classification by community detection

Antonio J. Gómez-Núñez, Vladimir Batagelj, Benjamín Vargas-Quesada, Félix Moya-Anegón and Zaida Chinchilla-Rodríguez

Journal of Informetrics, 2014, vol. 8, issue 2, 369-383

Abstract: 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.

Keywords: Community detection; Clustering; SCImago Journal & Country Rank; Journal classification; Citation-based network (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:8:y:2014:i:2:p:369-383

DOI: 10.1016/j.joi.2014.01.011

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