지적 구조 분석을 위한 MDS 지도 작성 방식의 비교 분석 (A Comparison Analysis of Various Approaches to Multidimensional Scaling in Mapping a Knowledge Domain&#039;s Intellectual Structure)

이재윤 (Lee, Jae Yun)

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
2007, 41(2), pp.335-357
Publisher : 한국문헌정보학회
Research Area : Interdisciplinary Studies > Library and Information Science

Lee, Jae Yun ¹

¹경기대학교

Accredited

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

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Journal of the Korean Society for Library and Information Science 2023 KCI Impact Factor : 0.84

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

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* References for papers published after 2023 are currently being built.

Journal of the Korean Society for Library and Information Science 2023 KCI Impact Factor : 0.84

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

ABSTRACT

KEYWORDS

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