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  • P-ISSN1013-0799
  • E-ISSN2586-2073
  • KCI

The JASIST Editorial Board Members' Research Areas and Keywords of JASIST Research Articles

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2014, v.31 no.3, pp.227-247
https://doi.org/10.3743/KOSIM.2014.31.3.227

Abstract

This paper examines the characteristics of the JASIST (Journal of the Association for Information Science and Technology) editorial board members and their research areas through author co-citation analysis, and investigates whether the editorial board members’ research areas are related with keywords frequently appeared in the journal’s research articles. In the process, research areas of the central members and those appeared most frequently as keywords will be identified. Research areas of the 36 members on the JASIST editorial board are collected and categorized to compare with the categorization of keywords extracted from 169 research articles published in JASIST, 2013. The result shows that members with higher centrality in the co-citation network are related with research areas that are also dominant in the distribution of article keywords. The areas include information behavior and searching, information retrieval, information system design, and bibliometrics.

keywords
편집위원회, 저자동시인용분석, 네트워크분석, 논문키워드, JASIST, editorial board, author co-citation analysis, network analysis, article keywords

Reference

1.

김하진. (2014). 동시출현단어 분석을 통한 국내외 정보학 학회지 연구동향 파악. 정보관리학회지, 31(1), 99-118. http://dx.doi.org/10.3743/KOSIM.2014.31.1.099.

2.

서은경. (2010). Longitudinal Analysis of Information Science Research in JASIST 1985-2009. 정보관리학회지, 27(2), 129-155.

3.

Åström, F.. (2007). Changes in the LIS research front : time-sliced cocitation analysis of LIS journal articles, 1990-2004. Journal of the American Society for Information Science and Technology, 58(7), 947-957.

4.

Baccini, A.. (2011). Seats at the table : the network of the editorial boards in information and library science. Journal of Informetrics, 5, 382-391.

5.

Bates, M. J.. (2012). The information professions: knowledge, memory, heritage (-). Presented at Association for Library and Information Science Education conference.

6.

Bates, M. J.. (2009). Encyclopedia of Library and Information Sciences:CRC Press.

7.

Bonacich, P.. (2007). Some unique properties of eigenvector centrality. Social Networks, 29, 555-564.

8.

Borgatti, S. P.. (2002). Ucinet 6 for Windows : Software for Social Network Analysis:Analytic Technologies.

9.

Boyack, K. W.. (2013). Improving the accuracy of co-citation clustering using full text. Journal of the American Society for Information Science and Technology, 64(9), 1759-1767.

10.

Cabanac, G.. (2012). Shaping the landscape of research in Information Systems from the perspective of editorial boards : a scientometric study of 77 leading journals. Journal of the American Society for Information Science and Technology, 63(5), 977-996.

11.

Chua, A. Y. K.. (2008). The shift towards multi-disciplinarity in Information Science. Journal of the American Society for Information Science and Technology, 59(13), 2156-2170.

12.

García-Carpintero, E.. (2010). The representation of nationalities on the editorial boards of international journals and the promotion of the scientific output of the same countries. Scientometrics, 84, 799-811.

13.

He, S.. (2002). A comparison of foreign authorship distribution in JASIST and the Journal of Documentation. Journal of the American Society for Information Science and Technology, 53(11), 953-959.

14.

Jarneving, B.. (2008). A variation of the calculation of the first author cocitation strength in author cocitation analysis. Scientometrics, 77(3), 485-504.

15.

Mauleón, E.. (2013). Assessing gender balance among journal authors and editorial board members. Scientometrics, 95, 87-114.

16.

Milojević, S.. (2011). The cognitive structure of library and information science : analysis of article title words. Journal of the American Society for Information Science and Technology, 62(10), 1933-1953.

17.

Moya-Anegón, F.. (2006). A connectionist and multivariate approach to science maps : the SOM, clustering and MDS applied to library science research and information. Journal of Information Science, 32(1), 63-77.

18.

Qiu, J. P.. (2014). Comparative study on structure and correlation among author co-occurrence networks in bibliometrics. Scientometrics, , -. http://dx.doi.org/10.1007/s11192-014-1315-6.

19.

Scott, J.. (2011). The SAGE Handbook of Social Network Analysis:SAGE Publications, Inc.

20.

Sin, S-C. J.. (2011). International coauthorship and citation impact : a bibliometric study of six LIS journals, 1980-2008. Journal of the American Society for Information Science and Technology, 62(9), 1770-1783.

21.

Tsay, M.. (2008). Journal bibliometric analysis : a case study on the JASIST. Malaysian Journal of Library & Information Science, 13(2), 121-139.

22.

Tsay, M.. (2011). A bibliometric analysis and comparison on three information science journals : JASIST, IPM, JOD, 1998-2008. Scientometrics, 89, 591-606.

23.

Tuomaala, O.. (2014). Evolution of library and information science, 1965-2005 : content analysis of journal articles. Journal of the Association for Information Science and Technology, 65(7), 1446-1462.

24.

Wasserman, S.. (1994). Social Network Analysis:Cambridge University Press.

25.

Wiley Online Library. (2014). Journal of the Association for Information Science and Technology. About this journal - overview. http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2330-1643/homepage/ProductInformation.html.

26.

Zhao, D.. (2008). Information science during the first decade of the web : an enriched author cocitation analysis. Journal of the American Society for Information Science and Technology, 59(6), 916-937.

Journal of the Korean Society for Information Management