A new technique for building maps of large scientific domains based on the cocitation of classes and categories
Félix Moya-Anegón (),
Benjamín Vargas-Quesada,
Victor Herrero-Solana,
Zaida Chinchilla-Rodríguez,
Elena Corera-Álvarez and
Francisco J. Munoz-Fernández
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Félix Moya-Anegón: University of Granada, Library and Information Science Faculty
Benjamín Vargas-Quesada: University of Granada, Library and Information Science Faculty
Victor Herrero-Solana: University of Granada, Library and Information Science Faculty
Zaida Chinchilla-Rodríguez: University of Granada, Library and Information Science Faculty
Elena Corera-Álvarez: University of Granada, Library and Information Science Faculty
Francisco J. Munoz-Fernández: University of Granada, Library and Information Science Faculty
Scientometrics, 2004, vol. 61, issue 1, No 10, 129-145
Abstract:
Abstract Our objective is the generation of schematic visualizations as interfaces for scientific domain analysis. We propose a new technique that uses thematic classification (classes and categories) as entities of cocitation and units of measure, and demonstrate the viability of this methodology through the representation and analysis of a domain of great dimensions. The main features of the maps obtained are discussed, and proposals are made for future improvements and applications.
Date: 2004
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Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:61:y:2004:i:1:d:10.1023_b:scie.0000037368.31217.34
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DOI: 10.1023/B:SCIE.0000037368.31217.34
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