Healthc Inform Res.  2010 Mar;16(1):52-59. 10.4258/hir.2010.16.1.52.

Knowledge Structure of Korean Medical Informatics: A Social Network Analysis of Articles in Journal and Proceedings

• Jeong S
• Lee SK
• Kim HG

• KMID: 2166566
• DOI: http://doi.org/10.4258/hir.2010.16.1.52

Abstract

OBJECTIVES
This study aimed at exploring the knowledge structure of Korean medical informatics. METHODS: We utilized the keywords, as the main variables, of the research papers that were presented in the journal and symposia of the Korean Society of Medical Informatics, and we used, as cases, the English titles and abstracts of the papers (n = 915) published from 1995 through 2008. N-grams (bigram to 5-gram) were extracted from the corpora using the BiKE Text Analyzer, and their cooccurrence networks were generated via a cosine correlation coefficient, and then the networks were analyzed and visualized using Pajek. RESULTS: With the hub and authority measures, the most important research topics in Korean medical informatics were identified. Newly emerging topics by three-year period units were observed as research trends. CONCLUSIONS: This study provides a systematic overview on the knowledge structure of Korean medical informatics.

Keyword

Medical Informatics; Knowledge Structure; Social Network Analysis; Co-word Analysis

MeSH Terms

Medical Informatics

Figure

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  Figure 1 Analysis workflow and BiKE Text Analyzer.

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  Figure 2 Top 50 important topics of the Korean medical informatics. The edge values lower than cosine 0.15 in the original network were removed and clustered with component (tf ≥ 5; N = 50; cosine ≥ 0.15; k-component ≥ 1; component = 9). Nine components generate 12 groups. Contour lines were drawn by hand.

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  Figure 3 Top 100 important topics of medical informatics in global scale (tf ≥10; N=100; cosine ≥ 0.1; κ-component ≥1; component= 40). Adapted from [20].

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  Figure 4 Newly emerging research topics in Korean medical informatics during the years 1998-2000.

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  Figure 5 Newly emerging research topics in Korean medical informatics during the years 2001-2003 and 2004-2006.

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  Figure 6 Newly emerging research topics in Korean medical informatics during the years 2007-2008.

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