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Mapping Knowledge Structure of Science and Technology Based on University Research Domain Analysis

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2009, v.26 no.2, pp.195-210
https://doi.org/10.3743/KOSIM.2009.26.2.195


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Abstract

This study explores knowledge structures of science and technology disciplines using a cocitation analysis of journal subject categories with the publication data of a science & technology oriented university in Korea. References cited in the articles published by the faculty of the university were analyzed to produce MDS maps and network centralities. For the whole university research domain, six clusters were created including clusters of Biology related subjects, Medicine related subjects, Chemistry plus Engineering subjects, and multidisciplinary sciences plus other subjects of multidisciplinary nature. It was found that subjects of multidisciplinary nature and Biology related subjects function as central nodes in knowledge communication network in science and technology. Same analysis procedure was applied to two natural science disciplines and another two engineering disciplines to present knowledge structures of the departmental research domains.

keywords
knowledge structure, science mapping, MDS map, closeness centrality, betweenness centrality, social network analysis, 지식 구조, 과학 지도, 다차원척도 지도, 인접중앙성, 사이중앙성, 사회연결망 분석, knowledge structure, science mapping, MDS map, closeness centrality, betweenness centrality, social network analysis

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Journal of the Korean Society for Information Management