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Weighted Subject-Method Network Analysis of Library and Information Science Studies

Journal of the Korean Society for Library and Information Science / Journal of the Korean Society for Library and Information Science, (P)1225-598X; (E)2982-6292
2015, v.49 no.3, pp.457-488
https://doi.org/10.4275/KSLIS.2015.49.3.457



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Abstract

In this study, we analyzed the current research state of Library and Information science in top 20 journals from 1990 to 2015, in subject and method perspectives. We developed weighted subject-method network to investigate on centralities of a subject and a method as well as their relations. This network is composed of subject nodes and method nodes and gives a weight on each node by topic occurrence. As a result, for 25 years, management information system, information need analysis, bibliometrics, information policy were top topics. Modeling, literature review, scientific research impact analysis, web data analysis were top methods. A recent rise of text mining is highlighted. We also analyzed communities made from the past 25 years and the recent 5 years. Bibliometrics is extending its field by applying various network analyzing algorithms. Text mining is specialized in medical information system and user interface. This result identifies the interests of excellent studies in Library and Information Science. It also can be fundamental resource for the development of Library and Information Science.

keywords
연구 현황 분석, 토픽모델링, 네트워크 분석, 가중 주제-방법 네트워크, Research Topic Analysis, Topic Modeling, Network Analysis, Weighted Subject-Method Network

Reference

1.

김판준, 이재윤. 2007. 연구 영역 분석을 위한 디스크립터 프로파일링에 관한 연구. 정보관리학회지, 24(4), 285-303.

2.

김희정. 2005. 저자 동시인용분석에 의한 국내외 기록관리학 분야의 지적구조 비교에 관한 연구. 한국문헌정보학회지, 39(3), 207-224.

3.

박자현, 송민. 2013. 토픽모델링을 활용한 국내 문헌정보학 연구동향 분석. 정보관리학회지, 30(1), 7-32.

4.

박지연, 정동열. 2013. 저자서지결합분석에 의한 문헌정보학의 지적구조 분석에 관한 연구. 정보관리학회지, 30(4), 31-59.

5.

서은경. 1992. 정보검색분야의 지적 구조와 변화에 관한 연구: 영어문화권 저자들을 중심으로. 정보관리학회지, 9(1), 55-82.

6.

서은경. 1997. 정보학분야 연구동향 분석; 정보관리학회지와 JASIS 의 비교분석을 중심으로. 정보관리학회지, 14(1), 269-291.

7.

서은경. 2010. 정보관리학회지 연구의 동향분석. 정보관리학회지, 27(4), 7-31.

8.

서은경, 유소영. 2013. Detecting Research Trends in Korean Information Science Research, 2000-2011. 정보관리학회지, 30(4), 215-239.

9.

손정표. 2003. 한국의 문헌정보학 분야 연구동향 분석: 1957-2002. 한국도서관․정보학회지, 34(3), 9-21.

10.

송정숙. 2010. 한국 문헌정보학의 연구현황 분석. 한국도서관․정보학회지, 41(4), 333-353.

11.

오세훈. 2005. 우리나라 문헌정보학 학술지 논문 및 인용문헌 분석을 통한 연구동향 연구. 정보관리학회지, 22(3), 379-408.

12.

유영준. 2003. 문헌정보학의 지식 구조에 관한 연구. 정보관리학회지, 20(3), 277-298.

13.

유종덕, 최은주. 2011. 저자프로파일링분석과 저자동시인용분석의 유용성 비교 검증. 정보관리학회지, 28(1), 123-144.

14.

윤구호, 서말숙. 2001. 저자동시 인용분석에 의한 1990 년대 한국문헌정보학의 지적구조에 관한연구. 한국도서관․정보학회지, 32(3), 169-197.

15.

정재영, 박진희. 2011. 한국 문헌정보학의 현장연구 현황 분석. 한국도서관․정보학회지, 42(2), 171-191.

16.

정진식. 2001. 한국 문헌정보학 분야의 연구동향 분석: 1996-2000. 한국문헌정보학회지, 35(3), 55-78.

17.

조재인. 2011. 네트워크 텍스트 분석을 통한 문헌정보학 최근 연구 경향 분석. 정보관리학회지, 28(4), 65-83.

18.

Blei, D. M. 2012. Probabilistic topic models. Communications of the ACM, 55(4), 77-84.

19.

Blondel, V. D. et al. 2008. Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 2008(10), P10008.

20.

Chellappa, R. K., Sambamurthy, V., and Saraf, N. 2010. Competing in crowded markets:Multimarket contact and the nature of competition in the enterprise systems software industry.Information Systems Research, 21(3), 614-630.

21.

Chen, C., Ibekwe-SanJuan, F., and Hou, J. 2010. The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis. Journal of the American Society for Information Science and Technology, 61(7), 1386-1409.

22.

Freeman, L. C. 1979. Centrality in social networks conceptual clarification. Social networks, 1(3), 215-239.

23.

Jiang, L. C. et al. 2015. The divided communities of shared concerns: Mapping the intellectual structure of e-Health research in social science journals. International journal of medical informatics, 84(1), 24-35.

24.

Lau, A. Y., and Coiera, E. W. 2007. Do people experience cognitive biases while searching for information? Journal of the American Medical Informatics Association, 14(5), 599-608.

25.

Logan, D. W. et al. 2010. Ten simple rules for editing Wikipedia. PLoS Comput Biol, 6(9), e1000941.

26.

Manning, C. D. et al. 2014. The Stanford CoreNLP natural language processing toolkit.In Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics:System Demonstrations, 55-60.

27.

Nishtar, S. et al. 2004. Newspaper articles as a tool for cardiovascular prevention programs in a developing country. Journal of health communication, 9(4), 355-369.

28.

Pautasso, M. 2013. Ten simple rules for writing a literature review. PLoS computational biology, 9(7), 1-4.

29.

Peddecord, K. M. et al. 2008. Can movie theater advertisements promote health behaviors? Evaluation of a flu vaccination pilot campaign. Journal of health communication, 13(6), 596-613.

30.

Peng, T. Q. et al. 2012. Mapping the landscape of Internet studies: Text mining of social science journal articles 2000–2009. New Media & Society, 1461444812462846.

31.

Persson, O. 1994. The intellectual base and research fronts of JASIS 1986–1990. Journal of the American Society for Information Science, 45(1), 31-38.

32.

Song, Min and Kim, Su Yeon. 2013. Detecting the knowledge structure of bioinformatics by mining full-text collections. Scientometrics, 96(1), 183-201.

33.

Su, H. N., and Lee, P. C. 2010. Mapping knowledge structure by keyword co-occurrence:a first look at journal papers in Technology Foresight. Scientometrics, 85(1), 65-79.

34.

Urquhart, C. et al. 2005. Student use of electronic information services in further education.International Journal of Information Management, 25(4), 347-362.

35.

Weingart, P. 2005. Impact of bibliometrics upon the science system: Inadvertent consequences?Scientometrics, 62(1), 117-131.

36.

Webster, J., and Watson, R. T. 2002. Analyzing the past to prepare for the future: Writing a literature review. Management Information Systems Quarterly, 26(2), 3.

37.

Yan, E., et al. 2012. Topics in dynamic research communities: An exploratory study for the field of information retrieval. Journal of Informetrics, 6(1), 140-153.

38.

Yan, E. 2014. Research dynamics: Measuring the continuity and popularity of research topics. Journal of Informetrics, 8(1), 98-110.

39.

Yan, E. 2015. Research dynamics, impact, and dissemination: A topic-level analysis.Journal of the Association for Information Science and Technology.

40.

Yoon, Byungun, Lee, Sungjoo and Lee, Gwanghee. 2010. Development and application of a keyword-based knowledge map for effective R&D planning. Scientometrics, 85(3), 803-820.

41.

Zhang, W. et al. 2015. Knowledge map of creativity research based on keywords network and co-word analysis, 1992–2011. Quality & Quantity, 49(3), 1023-1038.

42.

Zhao, D., and Strotmann, A. 2008a. Author bibliographic coupling: Another approach to citation-based author knowledge network analysis. Proceedings of the American Society for Information Science and Technology, 45(1), 1-10.

43.

Zhao, D., and Strotmann, A. 2008b. Evolution of research activities and intellectual influences in information science 1996–2005: Introducing author bibliographic-coupling analysis.Journal of the American Society for Information Science and Technology, 59(13), 2070-2086.

44.

JITA Classification System of Library and Information Science. [online] [cited 2015. 8. 7.]<http://library.ifla.org/view/subjects/subjects.html>

Journal of the Korean Society for Library and Information Science