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http://dx.doi.org/10.3743/KOSIM.2015.32.4.077

Identifying the Research Fronts in Korean Library and Information Science by Document Co-citation Analysis  

Lee, Jae Yun (명지대학교 문헌정보학과)
Publication Information
Journal of the Korean Society for information Management / v.32, no.4, 2015 , pp. 77-106 More about this Journal
Abstract
By document co-citation analysis with Korean Citation Index (KCI) data, this study accurately identified the research fronts and hot topics in Korean library and information science (LIS) from 2004 to 2013. 159 core papers in LIS domain and their citations are scraped manually from Korean Citation Index web site. In the cluster analysis and network analysis, 159 core papers were grouped into 27 clusters with multiple papers and 8 singlton clusters. Among the 27 clusters which have multple papers, 'LIS education' cluster was the largest with 16 core papers, and 'citation analysis & intellectual structure analysis' cluster had the strongest citation impact according to the ehs-index. Closer observation of the citations to the core papers in each research front showed that 67.5% of the citations were made by LIS research papers and 32.5% of the citations were made by non-LIS research papers. Considering the share of citations and the citation impact growth index, 'local documentation', 'citation analysis & intellectual structure analysis', and 'research trends analysis' were identified as the most emerging research front in Korean library and information science. The analytical methods used in this study have great potential in discovering the characteristics of research fronts in Korean interdisciplinary research domains.
Keywords
document co-citation; research fronts; research trends; library and information science; co-citation network; citation impact;
Citations & Related Records
Times Cited By KSCI : 11  (Citation Analysis)
연도 인용수 순위
1 김영진 (1986). 논문의 동시인용을 통한 지적구조의 규명에 관한 연구. 정보관리학회지, 3(1), 103-135. Kim, Young-Jin (1986). A study on the intellectual structure using cocitation analysis. Journal of the Korean Society for Information Management, 3(1), 103-135. http://dx.doi.org/10.3743/KOSIM.1986.3.1.103
2 박자현, 송민 (2013). 토픽모델링을 활용한 국내 문헌정보학 연구동향 분석. 정보관리학회지, 30(1), 7-32. http://dx.doi.org/10.3743/KOSIM.2013.30.1.007 Park, Ja-Hyun, & Song, Min (2013). A study on the research trends in library & information science in Korea using topic modeling. Journal of the Korean Society for Information Science, 30(1), 7-32. http://dx.doi.org/10.3743/KOSIM.2013.30.1.007   DOI
3 박지연, 정동열 (2013). 저자서지결합분석에 의한 문헌정보학의 지적구조 분석에 관한 연구. 정보관리학회지, 30(4), 31-59. http://dx.doi.org/10.3743/KOSIM.2013.30.4.031 Park, Ji Yeon, & Jeong, Dong Youl (2013). A study on the intellectual structure of library and information science in Korea by author bibliographic coupling analysis. Journal of the Korean Society for Information Science, 30(4), 31-59. http://dx.doi.org/10.3743/KOSIM.2013.30.4.031   DOI
4 사공철, 정영미, 김태수, 최석두 (편) (2001). 정보학사전. 서울: 문헌정보처리연구회. Sagong, Chul, Chung, Young-Mee, Kim, Tae-Soo, & Choi, Sukdoo (eds.) (2001). Encyclopedia of library and information science. Seoul: Bibliographic Information Processing Society.
5 안민호 (2006). 논문 동시인용 유형으로 본 커뮤니케이션 이론의 연결망 분석: 한국언론학보, JOC, HCR의 실증연구를 중심으로. 한국언론학보, 50(1), 162-191. Ahn, Min-Ho (2006). An empirical examination of communication theory networks: Focusing on the co-occurrence patterns in the research articles of JOC, HCR, KJJCS, 1999-2004. Korean Journal of Journalism & Communication Studies, 50(1), 162-191.
6 오세훈 (2005). 우리나라 문헌정보학 학술지 논문 및 인용문헌 분석을 통한 연구동향 연구. 정보관리학회지, 22(3), 379-408. http://dx.doi.org/10.3743/KOSIM.2005.22.3.379 Oh, Se-Hoon (2005). A study on the research trends of library & information science in Korea by analyzing journal articles and the cited literatures. Journal of the Korean Society for Information Science, 22(3), 379-408. http://dx.doi.org/10.3743/KOSIM.2005.22.3.379   DOI
7 유영준 (2003). 문헌정보학의 지식 구조에 관한 연구. 정보관리학회지, 20(3), 277-298. http://dx.doi.org/10.3743/KOSIM.2003.20.3.277 Yoo, Yeong-Jun (2003). A study on intellectual structure of library and information science in Korea. Journal of the Korean Society for Information Management, 20(3), 277-298. http://dx.doi.org/10.3743/KOSIM.2003.20.3.277   DOI
8 이재윤 (2006). 연구성과 측정을 위한 h-지수의 개량에 관한 연구. 정보관리학회지, 23(3), 167-186. http://dx.doi.org/10.3743/KOSIM.2006.23.3.167 Lee, Jae Yun (2006). Some improvements on h-Index: Measuring research outputs by citations. Journal of the Korean Society for Information Management, 23(3), 167-186. http://dx.doi.org/10.3743/KOSIM.2006.23.3.167   DOI
9 이재윤 (2008). 서지적 저자결합분석: 연구동향 분석을 위한 새로운 접근. 정보관리학회지, 25(1), 173-190. http://dx.doi.org/10.3743/KOSIM.2008.25.1.173 Lee, Jae Yun (2008). Bibliographic author coupling analysis: A new methodological approach for identifying research trends. Journal of the Korean Society for information Management, 25(1), 173-190. http://dx.doi.org/10.3743/KOSIM.2008.25.1.173   DOI
10 이재윤 (2011). 인용 네트워크 분석에 근거한 문헌 인용 지수 연구. 한국문헌정보학회지, 45(2), 119-143. http://dx.doi.org/10.4275/KSLIS.2011.45.2.119 Lee, Jae Yun (2011). A study on document citation indicators based on citation network analysis. Journal of the Korean Society for Library and Information Science, 45(2), 119-143. http://dx.doi.org/10.4275/KSLIS.2011.45.2.119   DOI
11 Blei, D. M. (2012). Probabilistic topic models. Communications of the ACM, 55(4), 77-84. http://dx.doi.org/10.1145/2133806.2133826   DOI
12 이재윤, 김판준, 강대신, 김희정, 유소영, 이우형 (2011). 계량서지적 기법을 활용한 LED 핵심 주제영역의 연구 동향 분석. 정보관리연구, 42(3), 1-26. http://dx.doi.org/10.1633/JIM.2011.42.3.001 Lee, Jae Yun, Kim, Pan-Jun, Kang, Dae-Shin. Kim, Hee-Jung, Yu, So Young, & Lee, Woo-Hyoung (2011). A bibliometric analysis on LED research. Journal of Information Management, 42(3), 1-26. http://dx.doi.org/10.1633/JIM.2011.42.3.001
13 이정환, 이재열 (2013). 동시인용분석 기반 지식영역 가시화 기법을 활용한 증강현실 연구 분석. 한국CAD/CAM학회 논문집, 18(5), 309-320. http://dx.doi.org/10.7315/CADCAM.2013.309 Lee, Jeonghwan, & Lee, Jae Yeol (2013). Analysis of the research on augmented reality using knowledge domain visualization based on co-citation analysis. Transactions of the Society of CAD/CAM Engineers, 18(5), 309-320. http://dx.doi.org/10.7315/CADCAM.2013.309
14 조재인 (2011). 네트워크 텍스트 분석을 통한 문헌정보학 최근 연구 경향 분석. 정보관리학회지, 28(4), 65-83. http://dx.doi.org/10.3743/KOSIM.2011.28.4.065 Cho, Jane (2011). A study for research area of library and information science by network text analysis. Journal of the Korean Society for Information Science, 28(4), 65-83. http://dx.doi.org/10.3743/KOSIM.2011.28.4.065   DOI
15 Braam, R. R., Moed, H. F., & van Raan, A. F. J. (1991). Mapping of science by combined co-citation and word analysis. I: Structural aspects. Journal of the American Society for Information Science, 42(4), 233-251.   DOI
16 Callon, M., Courtial, J. P., & Laville, F. (1991). Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemsitry. Scientometrics, 22(1), 155-205. http://dx.doi.org/10.1007/BF02019280   DOI
17 Chen, C. (2003). Mapping scientific frontiers: The quest for knowledge visualization. London: Springer-Verlag.
18 De Solla Price, D. J. (1965). Networks of scientific papers. Science, 149, 510-515.   DOI
19 Porter, A. L., & Cunningham, S. W. (2005). Tech mining: Exploiting new technologies for competitive advantage. NJ: John Wiley & Sons, Inc.
20 Garfield, E. (1994). Research fronts. Current Contents, 41, 3-7.
21 Rousseau, R., & Hu, X. J. (2010). An outgrow index. Annals of Library and Information Studies, 57(3), 287-290.
22 Schubert, A. (2009). Using the h-index for assessing single publications. Scientometrics, 78(3), 559-565. http://doi.org/10.1007/s11192-008-2208-3   DOI
23 Small, H. G. (1973). Co-citation in the scientific literature: A new measure of the relationship between publications. Journal of the American Society for Information Science, 24(4), 265-269. http://dx.doi.org/10.1002/asi.4630240406   DOI
24 Yu, So Young (2012). Curve estimation among citation and centrality measures in article-level citation networks. Journal of the Korean Society for Information Management, 29(2), 193-204. http://dx.doi.org/10.3743/KOSIM.2012.29.2.193   DOI
25 Zhao, D., & Strotmann, A. (2008). Evolution of research activities and intellectual influences in information science 1996-2005: Introducing author bibliographiccoupling analysis. Journal of the American Society for Information Science and Technology, 59(13), 2070-2086. http://dx.doi.org/10.1002/asi.20910   DOI