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Analysis of Reference Inquiries in the Field of Social Science in the Collaborative Reference Service Using the Co-Word Technique

Analysis of Reference Inquiries in the Field of Social Science in the Collaborative Reference Service Using the Co-Word Technique

한국문헌정보학회지 / Journal of the Korean Society for Library and Information Science, (P)1225-598X; (E)2982-6292
2015, v.49 no.1, pp.129-148
https://doi.org/10.4275/KSLIS.2015.49.1.129
조재인 (인천대학교)
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Abstract

This study grasped the true nature of the inquiry domain by analysing the requests for collaborative reference service in the social science field using the co-word technique, and schematized the intellectual structure. First, this study extracted 748 uncontrolled keywords from inquiries for reference in the field of social science. Second, calculated similarity indices between the words on the basis of co-occurrence frequency, and performed not only clustering but also MDS mapping. Third, to grasp the difference in inquiries for reference by period, dividing the period into two parts, and performed comparative analysis. As a result, there formed 5 clusters and “Korea Education” showed an overwhelming size with 40.3% among those clusters. The result of the analysis through the period division showed there were many questions about “Education” during the first half, while a lot of inquiries with focus on “welfare and business information” during the second half.

keywords
Reference Inquiries, Ask a Librarian, Co-word Analysis, Cluster, Multi-dimensional Analysis

참고문헌

1.

Bae, S. J. 2011. A Case Study of the CDRS for Effective Operation of Collaborative Digital Reference Service in Korea. The Journal of Korean Society for Library and Information Science, 45(1), 11-27.

2.

Byun J. H. 2011. A Study on Intellectual Structure Using Author Bibliographic Coupling Analysis in the Field of Electrical Engineering, Department of Library And Information Science. Master Thesis, Ewha Womans University.

3.

Cha, M. K., and Kim, S. J. 2006. A Study on the Cooperation Model for Virtual Reference Services in Public Libraries. The Journal of Korean Society for Library and Information Science, 40(4), 367-383.

4.

Cho, J. I. 2013. The recent trends of information organization research in Japan and Korea.Library Collections, Acquisitions, & Technical Services, 37, 107-117.

5.

Cho, S. E., Choi, M., and Park, H. U. 2012. Government-civic group conflicts and communication strategies: A text analysis of TV debates on Korea’s import of U.S. beef. Journal of Contemporary Eastern Asia, 11, 1-20.

6.

Courtial, J.-P., Callon, M., and Sigogneau, M. 1984. Is indexing trustworthy? Classification of articles through co-word analysis. Journal of Information Science, 9, 47-56.

7.

Ding, Y., Chowdhury, G. G., and Foo, S. 2001. Bibliometric cartography of information retrieval research by using co-word analysis. Information Processing and Management, 37(6), 817-842.

8.

Green, P., Camone, FJ. Jr., and Smith, SM. 1989. Multidimensional scaling: concepts and applications. Massachusetts: Allyn and Bacon.

9.

Jin, S. A., Heo, K. E., Chung, Y. K., and Song, M. 2013. Topic-Network based Topic Shift Detection on Twitter. The Journal of Information Management, 30(1), 285-302.

10.

Kang, M. G. 2000. A Network Analysis of Political Power Structure. The Study of Media Information, 37, 93-130.

11.

Kim, M. H., Ham, Y. K., Lee, U. H., and Kim, Y. J. 2011. Extraction of framework of digital finance research through Co-word analysis. Internet Electronic Commerce Research, 11(1), 83-99.

12.

Kim, T. 2011. Tweet search result summarization using keyword graph. Master Thesis, Department of Electronic and Computer Engineering Sungkyunkwan University.

13.

Kwon, J. Y., Lee, U. H., Kim, M. H., and Lee, S. J. 2010. Analysis of EA(Enterprise Architecture)research trend using Co-word Analysis. Information Architecture Research, 7(1), 31-17.

14.

Lee, M. K. 2003. The study on exploration of intellectual structure of artificial intelligence field using Co-word analysis. Master Thesis, Yonsei University.

15.

Lee, U. H., Kim, Y. M., Park, K. R., and Lee, M. H. 2006. A Study on the Emerging Technology Mapping Through Co-word Analysis. International Journal of Management Science, 23(1), 77-93.

16.

Lim, C. H. 2006. A study on the utilization of knowledge maps: At the center of analysis on research and development trends in information security technology. Master Thesis, Korea Foreign Language University.

17.

Liu, G., and Wang, H. A. 2012. A co-word analysis of digital library field in China. Scientometrics, 91(1), 203-217.

18.

Park, G. R. 2004. Analysis on intellectual structure of Supply Chain Management using CO-word method. Master Thesis, Korea Foreign Language University.

19.

Park, H. U., and Leydesdorff, L. 2004. Understanding and Application of KRKWIC for Korean Language Content Analysis. Journal of the Korean Data Analysis Society, 6(5), 1377-1387.

20.

Peters, H. P. F., and van Raan, A. F. J. 1993. Co-word based science maps of chemical engineering, Part2: Combined clustering and multidimensional scaling. Research Policy, 22, 47-71.

21.

Seo, S. K., and Chung, E. K. 2013. Domain Analysis on the Field of Open Access by Co-Word Analysis. The Journal of Korean Biblia Society for Library and Information Science, 24(1), 207-228.

22.

Sim, J. S. 2010. Analysis of trouble flame by using semantic network analysis. A Study on Korean Public Administration, 20(2), 183-212.

23.

Zong, Q., Shen, H., Yuan, Q., Hu, X., Hou, Z., and Deng, S. 2013. Doctoral dissertations of Library and Information Science in China: A co-word analysis. Scientometrics, 94(2), 781-799.

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