A Connectionist and Multivariate Approach to Science Maps: Som, Clustering and Mds Applied to Library & Information Science Research.

De-Moya-Anegón, Félix, Herrero-Solana, Víctor and Jiménez-Contreras, E. A Connectionist and Multivariate Approach to Science Maps: Som, Clustering and Mds Applied to Library & Information Science Research. Journal of Information Science, 2006, pp. 61-75. [Journal article (Paginated)]

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English abstract

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.

Item type: Journal article (Paginated)
Keywords: domain analysis; author co-citation analysis ACA); journal co-citation analysis (JCA); library and information science; multidimensional scaling (MDS); self-organizing map (SOM)
Subjects: A. Theoretical and general aspects of libraries and information. > AA. Library and information science as a field.
B. Information use and sociology of information > BB. Bibliometric methods
Depositing user: Rosa Sanz
Date deposited: 01 Dec 2009
Last modified: 02 Oct 2014 12:15
URI: http://hdl.handle.net/10760/13866

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