A connectionist and multivariate approach to science maps: the SOM, clustering and MDS applied to library and information science research

The visualization of scientific field structures is a classic of scientometric studies. This paper presents a domain analysis of the library and information science discipline based on author co-citation analysis (ACA) and journal cocitation analysis (JCA). The techniques used for map construction a...

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Vydané v:Journal of information science Ročník 32; číslo 1; s. 63 - 77
Hlavní autori: Moya-Anegón, Félix, Herrero-Solana, Víctor, Jiménez-Contreras, Evaristo
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Thousand Oaks, CA SAGE Publications 01.02.2006
Bowker-Saur
Bowker-Saur Ltd
Predmet:
Academic disciplines
Authors
Bibliometrics
Bibliometrics. Scientometrics. Evaluation
Citation analysis
Citation indexing
Cluster analysis
Clustering
Co authorship
Cocitation
Exact sciences and technology
Information
Information and communication sciences
Information management
Information science
Information science. Documentation
Libraries
Library and information science
Library and information science. General aspects
Library science
Measures
Multidimensional scaling
Periodicals
Science
Sciences and techniques of general use
Scientometrics
Self organizing maps
Studies
Subject analysis
Visualization
author co-citation analysis (ACA)
journal co-citation analysis (JCA)
domain analysis
multidimensional scaling (MDS)
library and information science
self-organizing map (SOM)
Information mapping
Research field
Periodical
Bibliometric analysis
Cocitation analysis
Multidimensional scaling
Scientific literature
Information science
Self organization
Maps
Scientometric analysis
Librarianship
ISSN:0165-5515, 1741-6485
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Shrnutí:The visualization of scientific field structures is a classic of scientometric studies. This paper presents a domain analysis of the library and information science discipline based on author co-citation analysis (ACA) and journal cocitation analysis (JCA). The techniques used for map construction are the self-organizing map (SOM) neural algorithm, Ward's clustering method and multidimensional scaling (MDS). The results of this study are compared with similar research developed by Howard White and Katherine McCain [1]. The methodologies used allow us to confirm that the subject domains identified in this paper are, as well, present in our study for the corresponding period. The appearance of studies pertaining to library science reveals the relationship of this realm with information science. Especially significant is the presence of the management on the journal maps. From a methodological standpoint, meanwhile, we would agree with those authors who consider MDS, the SOM and clustering as complementary methods that provide representations of the same reality from different analytical points of view. Even so, the MDS representation is the one offering greater possibilities for the structural representation of the clusters in a set of variables.
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ISSN:0165-5515
1741-6485
DOI:10.1177/0165551506059226