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대학의 연구 영역 분석을 통한 과학 기술 분야의 지식 구조 매핑에 관한 연구

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

  • 발행 : 2009.06.30

초록

이 연구에서는 한국의 과학 기술 중심 대학의 연구 영역 분석을 통해 과학 기술 분야의 지식 구조를 파악하고자 하였다. 해당 대학 교수들이 일정 기간 출판한 논문을 수집하여 분석에 이용하였고, 전체 대학과 학과의 두 수준에서 지식 구조를 파악하였다. 분석 기법으로는 논문에서 인용한 학술지의 주제 범주에 대한 동시인용 분석을 통해 주제들의 연관성을 다차원 지도상에 표현하였고, 사회연결망 분석에서 사용하는 중앙성 척도를 사용하여 관련 주제들의 위치를 파악하였다. 분석 결과 다학문적 성격을 띠는 주제와 생물학 관련 주제들이 전체 과학 기술 분야 및 화학과 물리학 영역의 지식 구조에서 중요한 역할을 하는 것으로 파악되었다.

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.

키워드

참고문헌

  1. Bayer, A.E., Smart, J.C., and McLaughlin, G.W. 1990. 'Mapping intellectual structure of a scientific subfield through author cocitations.' J. of the American Society for Information Science, 41(6): 444-452 https://doi.org/10.1002/(SICI)1097-4571(199009)41:6<444::AID-ASI12>3.0.CO;2-J
  2. Boyack, K.W,, Klavans, R., and Borner, K. 2005. 'Mapping the backbone of science.' Scientometrics, 64(3): 351-374 https://doi.org/10.1007/s11192-005-0255-6
  3. Bonacich, P. 1987. 'Power and centrality: a family of measures.' American Sociological Review, 92: 1170-1182 https://doi.org/10.1086/228631
  4. Eom, S. 2008. Author Cocitation Analysis. Hershey: Information Science Reference
  5. Fernandez-Alles, M. and Ramos-Rodriguez, A. 2009. 'Intellectual structure of human resources management research: a bibliometric analysis of the Journal Human Resource Management, 1985-2005.' J. of the American Society for Information Science and Technology, 60(1): 161-175 https://doi.org/10.1002/asi.20947
  6. Klavans, R. and Boyack, K.W. 2009. 'Toward a consensus map of science.' J. of the American Society for Information Science and Technology, 60(3): 455-476 https://doi.org/10.1002/asi.20991
  7. Lee, J. Y. 2008. 'Analyzing the network of academic disciplines with journal contributions of Korean researchers.' Journal of the Korean Society for Information Management, 25(4): 327-345 https://doi.org/10.3743/KOSIM.2008.25.4.327
  8. Leydesdorff, L. and Vaughan, L. 2006. 'Co-occurrence matrices and their applications in information science: extending ACA to the Web environment.' J. of the American Society for Information Science and Technology, 57(12): 1616-1628 https://doi.org/10.1002/asi.20335
  9. Liu, Z. 2005. 'Visualizing the intellectual structure in urban studies; a journal co-citation analysis (1992-2002).' Scientometrics, 62(3): 385-402 https://doi.org/10.1007/s11192-005-0029-1
  10. McCain, K.W. 1990. 'Mapping authors in intellectual space: a technical overview.' J. of the American Society for Information Science, 41(6): 433-443 https://doi.org/10.1002/(SICI)1097-4571(199009)41:6<433::AID-ASI11>3.0.CO;2-Q
  11. Miguel, S., Moya-Anegeon, F.d., Herrero-Solana, V. 2008. 'A new approach to institutional domain analysis: multilevel research fronts structure.' Scientometrics, 74(3): 331-344 https://doi.org/10.1007/s11192-007-1586-2
  12. Moya-Anegeon, F.d. Vargas-Quesada, B., Chinchilla- Rodriguez, Z., Herrero-Solana, V., Corera-Alvarez, E., and Munoz-Fernandez, F.J. 2004. 'A new technique for building maps of large scientific domains based on the cocitation of classes and categories.' Scientometrics, 61(1): 129-145 https://doi.org/10.1023/B:SCIE.0000037368.31217.34
  13. Moya-Anegeon, F.d. Vargas-Quesada, B., Chinchilla- Rodriguez, Z., Herrero-Solana, V., Corera-Alvarez, E., and Munoz-Fernandez, F.J. 2005. 'Domain analysis and information retrieval through the construction of heliocentric maps based on ISI-JCR category cocitation.' Information Processing & Management, 41: 1520-1533 https://doi.org/10.1016/j.ipm.2005.03.017
  14. Moya-Anegeon, F.d., Vargas-Quesada, B., Chinchilla- Rodriguez, Z., Corera-Alvarez, E., and Munoz-Fernandez, F.J. 2007. Visualizing the marrow of science.' J. of the American Society for Information Science and Technology, 58(14): 2167-2179 https://doi.org/10.1002/asi.20683
  15. Leydesdorff, L. 2007. 'Betweenness centrality as an indicator of the interdisciplinarity of scientific journals.' J. of the American Society for Information Science and Technology, 58(9): 1303-1319 https://doi.org/10.1002/asi.20614
  16. Leydesdorff, L. and Rafols, I. 2009. 'A global map of science based on the ISI subject categories.' J. of the American Society for Information Science and Technology, 60(2): 348-362 https://doi.org/10.1002/asi.20967
  17. Samoylenko, I., Chao, T.-C., Liu, W.-C., and Chen, C.-M. 2006. 'Visualizing the scientific world and its evolution.' J. of the American Society for Information Science and Technology, 57(11): 1461-1469 https://doi.org/10.1002/asi.20450
  18. Scott, J. 2000. Social Network Analysis: a Handbook. 2nd ed. London: Sage Publications
  19. Shibata, N., Kajikawa, Y., Takeda, Y., and Matsushima, K. 2007. 'Topological analysis of citation networks to discover the future core articles.' J. of the American Society for Information Science and Technology, 58(6): 872-882 https://doi.org/10.1002/asi.20529
  20. Sugimoto, C.R. Pratt, J.A., and Hauser, K. 2008. 'Using field cocitation analysis to assess reciprocal and shared impact of LIS/MIS fields.' J. of the American Society for Information Science and Technology, 59(9): 1441-1453 https://doi.org/10.1002/asi.20863
  21. Wallace, M.L., Gingras, Y., and Duhon, R. 2009. 'A new approach for detecting scientific specialties from cocitation networks.' J. of the American Society for Information Science and Technology, 60(2): 240-246 https://doi.org/10.1002/asi.20987
  22. White, H.D. 2003. 'Pathfinder networks and author cocitation analysis: a remapping of paradigmatic information scientists.' J. of the American Society for Information Science and Technology, 54(5): 423-434 https://doi.org/10.1002/asi.10228
  23. White, H.D. and McCain, K.W. 1998. 'Visualizing a discipline: an author co-citation analysis of information science.' J. of the American Society for Information Science, 49(4): 327-355
  24. Zhao, D. and Strotmann, A. 2007. 'Can citation analysis of web publications better detect research fronts?' J. of the American Society for Information Science and Technology, 58(9): 1285-1302 https://doi.org/10.1002/asi.20617

피인용 문헌

  1. Application of Social Network Analysis to Health Care Sectors vol.18, pp.1, 2012, https://doi.org/10.4258/hir.2012.18.1.44