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Exploratory Study of Applying Historiography and SPLC for Developing Information Services: A Case Study of LED Domain

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2013, v.30 no.3, pp.273-296
https://doi.org/10.3743/KOSIM.2013.30.3.273

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Abstract

The purpose of this study is to examine the data coverage and citation threshold for analyzing SPLC(Search Path Link Count) as a main path of a historiograph of a certain topic in order to provide ‘core’ papers of global research trends to a researcher affiliated with a local R&D institution. 5 datasets were constructed by retrieving and collecting 2,318 articles on RGB LED on Web of Science published from 1990-2013 and 20,109 articles which cited these original 2,318. The SPLC analysis was performed on each dataset by increasing the threshold of citation counts, and the changes and resilience of the 28 extraced networks were compared. The results of user feedback on 198 unique core papers from 28 SPLC networks received from LED researchers affiliated with a Korean government-sponsored research institution were also analyzed. As a result, it is found that the nodes in each SPLC network in each dataset were differentiated by the citation counts, while the changes in the structure of SPLC networks were slight after the networks’ citation counts were set at 40. Additionally, the user feedback showed that personalized research interest generally matched to the global research trends identified by the SPLC analysis.

keywords
historiograph, citation analysis, LED, SPLC, information service, 히스토리오그래프, 인용 분석, LED, SPLC(Search Path Link Count), 연구지원 서비스

Reference

1.

권나현. (2012). 과학기술분야 R&D 전주기 연구 - 국내 생명 및 나노과학기술 연구자를 중심으로 -. 한국문헌정보학회지, 46(3), 103-131. http://dx.doi.org/10.4275/KSLIS.2012.46.3.103.

2.

유소영. (2008). 학제적 분야의 정보서비스를 위한 학술지 인용 분석에 관한 연구: Y대학교 생명공학과를 중심으로. 정보관리학회지, 25(4), 283-308.

3.

이정연. (2012). 과학기술분야 연구활동 단계별 문제상황 극복을 위한 정보행동 연구. 정보관리학회지, 29(3), 99-122. http://dx.doi.org/10.3743/KOSIM.2012.29.3.099.

4.

이재윤. (2013). 계량정보분석과 정보관리실무 (-). 2013 정보관리와 네트워크 분석 워크숍 발표자료.

5.

이재윤. (2011). 연구지원 서비스를 위한 계량서지적 분석: 국제백신연구소 연구동향을 대상으로 (11-16). 제18회 한국정보관리학회 학술대회 논문집.

6.

이재윤. (2011). 계량서지적 기법을 활용한 LED 핵심 주제영역의 연구 동향 분석. Journal of Information Science Theory and Practice, 42(3), 1-26.

7.

Allard, S.. (2009). Design engineers and technical professionals at work : Observing information usage in the workplace. Journal of the American Society for Information Science and Technology, 60(3), 443-454.

8.

Barabasi, A.. (2003). Linked: How everything is connected to everything else and what it means for business, science, and everyday life:Plume.

9.

Batagelj, V.. (2003). Efficient algorithms for citation network analysis. http://arxiv.org/pdf/cs/0309023.

10.

Bichteler, J.. (1989). Information-seeking behavior of geoscientists. Special Libraries, 79(3), 169-178.

11.

Case, D. O.. (2012). Looking for Information : A survey of research on information seeking, needs, and behavior(3rd ed.):Emerald.

12.

Case, D. O.. (1986). End-user information-seeking in the energy field : Implications for end-user access to DOE RECON databases. Information Processing & Management, 22, 299-308.

13.

Choi, C.. (2009). Monitoring the organic structure of technology based on the patent development paths. Technological Forecasting & Social Change, 76(6), 754-768.

14.

Colicchia, C.. (2012). Supply chain risk management : A new methodology for a systematic literature review. Supply Chain Management: An International Journal, 17(4), 403-418.

15.

de Nooy, W.. (2011). Exploratory social network analysis with Pajek(Revised and expanded second edition):Cambridge University Press.

16.

Doreian, P.. (2000). Symmetric-acyclic decompositions of networks. Journal of Classification, 17(1), 3-28.

17.

Garfield, E.. (2001). From computational linguistics to algorithmic historiography (-). From computational linguistics to algorithmic historiography. Lazerow Lecture held in conjunction with panel on “Knowledge and Language: Building large-scale knowledge bases for intelligent applications,” presented at the University of Pittsburgh.

18.

Garfield, E.. (2001). From bibliographic coupling to co-citation analysis via algorithmic historio-bibliography: A citationist’s tribute to Belver C. Griffith (-). Lazerow Lecture presented at Drexel University.

19.

Garfield, E.. (2002). Algorithmic citation-linked historiography-Mapping the literature of science (14-24). Proceedings of the American Society for Information Science and Technology Annual Meeting.

20.

Garfield, E.. (2003). Why do we need algorithmic historiography?. Journal of the American Society for Information Science and Technology, 54(5), 400-412.

21.

Holland, M. P.. (1995). A longitudinal survey of the information seeking and use habits of some engineers. College and Research Libraries, 55(1), 7-15.

22.

Hummon, N. P.. (1989). Connectivity in a citation network : The development of DNA theory. Social Networks, 11, 39-63.

23.

Kajikawa, Y.. (2008). Tracking emerging technologies in energy research: Toward a roadmap for sustainable energy. Technological Forecasting & Social Change, 75(6), 771-782.

24.

King, D. W.. (2001). Using and reading scholarly literature. Annual Review of Information Science and Technology, 34, 423-477.

25.

Kuruppu, P. U.. (2006). Understanding the information needs of academic scholars in agricultural and biological sciences. Journal of Academic Librarianship, 32(6), 609-623.

26.

Leydesdorff, L.. (2010). Eugene Garfield and algorithmic historiography : Co-words, co-authors, and journal names. Annals of Library and Information Studies, 57(3), 248-260.

27.

Lucio-Arias, D.. (2008). Main-path analysis and path-dependent transitions in HistCite™-based historiograms. Journal of the American Society for Information Science and Technology, 59(12), 1948-1962.

28.

Merton, R. K.. (1968). The Matthew effect in science. Science, 159(3810), 56-63.

29.

Murphy, J.. (2003). Information-seeking habits of environmental scientists: A study of interdisciplinary scientists at the Environmental Protection Agency in Research Triangle Park, North Carolina. Issues in Science and Technology Librarianship, 38, -.

30.

Price, D. J. de S.. (1976). A general theory of bibliometric and other cumulative advantage processes. Journal of the American Society for Information Science, 27(5), 292-306.

31.

Tenopir, C.. (2009). Variations in article seeking and reading patterns of academics: What makes a difference?. Library and Information Science Research, 31(3), 139-148.

32.

Verspagen, B.. (2007). Mapping technological trajectories as patent citation networks : A study on the history of fuel cell research. Advances in Complex Systems, 10(1), 93-115.

Journal of the Korean Society for Information Management