Knowledge Structure of Korean Medical Informatics: A Social Network Analysis of Articles in Journal and Proceedings
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다운로드
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참고문헌
키워드
초록
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 1995through 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.
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 1995through 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.
참고문헌 (22)
- Hasman A, "Modeling in biomedical informatics: an exploratory analysis part 1", Methods Inf Med, 45, pp.638~642 (2006)
- Hasman A, "Modeling in biomedical informatics: an exploratory analysis part 2", Int J Med Inform, 76, pp.96~102 (2007)
- Maojo V, "Bioinformatics and medical informatics: collaboration on the road to genomic medicine?", J Am Med Inform Assoc, 10, pp.515~522 (2003)
- He Q, "Knowledge discovery through co-word analysis", Lib Trends, 48, pp.133~159 (1999)
- Callon M, "From translations to problematic networks: an introduction to coword analysis", Soc Sci Inform, 22, pp.191~235 (1983)
- Morris TA, "Structural relationships within medical informatics", Proc AMIA Symp 2000, pp.590~594 (2000)
- Bansard JY, "Medical informatics and bioinformatics: a bibliometric study", IEEE Trans Inf Technol Biomed, 11, pp.237~243 (2007)
- Mane KK, "Mapping topics and topic bursts in PNAS", Proc Natl Acad Sci U S A, 101(Suppl 1), pp.5287~5290 (2004)
- Garfield E, "Mapping the world of biomedical engineering: Alza lecture (1985)", Ann Biomed Eng, 14, pp.97~108 (1986)
- Pickens J, "Term context models for information retrieval", Proceedings of 15th ACM International Conference on Information and Knowledge Management, pp.559~560 (2006)
- Rebholz-Schuhman D, , BMC Bioinformatics, 8(Suppl 1), pp.S18~ (2007)
- Stegmann J, "Hypothesis generation guided by co-word clustering", Scientometrics, 56, pp.111~135 (2003)
- Swanson DR, "Undiscovered public knowledge", Libr Q, 56, pp.103~118 (1986)
- Swanson DR, "Fish oil, Raynaud’'s syndrome, and undiscovered public knowledge", Perspect Biol Med, 30, pp.7~18 (1986)
- "Transitive text mining for information extraction and hypothesis generation"[URL]
- Swanson DR, "Migraine and magnesium: eleven neglected connections", Perspect Biol Med, 31, pp.526~557 (1988)
- Mann GS, "Bibliometric impact measures leveraging topic analysis", Proceedings of the 6th ACM, 2006, 65~74
- Noyons E, "Bibliometric mapping of science in a policy context", Scientometrics, 50, pp.83~98 (2001)
- Kleinberg JM, "Authoritative sources in a hyperlinked environment", J ACM, 46, pp.604~632 (1999)
- Jeong S, "Intellectual structure of biomedical informatics reflected in scholarly events", Scientometrics. Epub 2010 Feb 11. DOI: 10.1007, 2010
- Bekhuis T, "Conceptual biology, hypothesis discovery, and text mining: Swanson’'s legacy", Biomed Digit Libr, 3, pp.2~ (2006)
- Jeong S, "Knowledge structure of Korean medical informatics", Proceedings of CJKMI Fall Conference, pp.49~51 (2009)