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A Comparison Analysis of Various Approaches to Multidimensional Scaling in Mapping a Knowledge Domain's Intellectual Structure

Journal of the Korean Society for Library and Information Science / Journal of the Korean Society for Library and Information Science, (P)1225-598X; (E)2982-6292
2007, v.41 no.2, pp.335-357

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Abstract

There has been many studies representing intellectual structures with multidimensional scaling(MDS). However MDS configuration is limited in representing local details and explicit structures. In this paper, we identified two components of MDS mapping approach; one is MDS algorithm and the other is preparation of data matrix. Various combinations of the two components of MDS mapping are compared through some measures of fit. It is revealed that the conventional approach composed of ALSCAL algorithm and Euclidean distance matrix calculated from Pearson's correlation matrix is the worst of the compared MDS mapping approaches. Otherwise the best approach to make MDS map is composed of PROXSCAL algorithm and z-scored Euclidean distance matrix calculated from Pearson's correlation matrix. These results suggest that we could obtain more detailed and explicit map of a knowledge domain through careful considerations on the process of MDS mapping.

keywords
Knowledge Domain Analysis, Multidimensional Scaling, MDS Map, Cluster Analysis, Bibliometrics, 지적구조 분석, 다차원척도법, MDS 지도, 군집분석, 계량서지학, Knowledge Domain Analysis, Multidimensional Scaling, MDS Map, Cluster Analysis, Bibliometrics

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Journal of the Korean Society for Library and Information Science