• Journal of Korean Library and Information Science Society
• /
• v.48 no.1
• /
• pp.191-206
• /
• 2017

The purpose of this study is to compare the characteristics of research collaborations in the field of LIS. While there are several studies under the unit of analysis of country, there are only a few studies under the unit of analysis of institution in LIS field. For this analysis, we selected eight journals in the KCI (Korea Citation Index) web site, which correspond to the field of LIS through subject classification. The collaborative indices, Collaborative Coefficient, Co-Authorship Index, Local Collaborative Index (LCI), Domestic Collaborative Index (DCI) allowed us to comparatively analyze institutional collaboration patterns in LIS field. In the case of Chung-Ang University, Yonsei University, and Ewha Womans University, collaborative research among professors, graduate students, and professors reflected the fact that collaborations among universities are often performed with professors. In the case of KISTI, which showed a very high index value, the characteristics of project-based research are reflected in the research collaboration pattern.

• The Journal of the Korea Contents Association
• /
• v.15 no.10
• /
• pp.387-399
• /
• 2015

Recently collaboration network is generated to find out experts in their field as potential collaborators in health care sector. In this paper, the co-author network of a National Cancer Center researcher was generated for identifying each researcher's role and collaborative research pattern. The co-author network of 2,437 authors was extracted from 1,194 SCI(E) publications from 2000 to 2010 and author's role was analyzed by author's centrality value. Centrality reflecting only the number of papers and centrality weighted by the paper number, impact factor, and authorship contribution was evaluated. On the comparison with simple degree centrality value and the weighted degree centrality, difference of value was statistically significant(t=11.66, p=0.00). Co-author network considering various variables of the paper provides more objective figure of researcher's role. This suggests that co-author network could be more effective in identifying potential collaborators.

• Journal of Information Science Theory and Practice
• /
• v.2 no.1
• /
• pp.35-47
• /
• 2014

Korean researchers' scientific outputs are increasing rapidly with the growth of both Korea's economy and industry size. This is the time to analyze the scientific output (STEM area) of Korea over the last 40 years. For this analysis, this study used the SCIE database of Web of Science (WoS), which is a representative global Citation Index Service. The objects of analysis are every Korean document published in the SCIE journal, and the research scopes are (1) analysis of citation and subject categories and (2) analysis of co-authorship. Through this study, characteristics such as cited trend and research trend by subject, and the status of collaboration between Korea and other countries including the 50 states of the USA were revealed.

• Journal of Korean Institute of Industrial Engineers
• /
• v.40 no.6
• /
• pp.618-627
• /
• 2014

This paper aims to construct and analyze the domestic collaborative research network in industrial engineering. Using co-authorship information contained in the papers published in the two journals of the Korean Institute of Industrial Engineers, the collaborate research network at the institutional level is constructed. The core institutions in the network are identified by means of the centrality indexes of social network analysis. In addition, the five types of roles of the institutions in industry-university-institute cooperation are examined through brokerage analysis: coordinator, consultant, gatekeeper, representative, and liaisons. The findings are expected to be fruitfully utilized in formulation of R&D strategy of relevant organizations and technology policy making for promoting collaborative research in industrial engineering.

• International Journal of Contents
• /
• v.11 no.1
• /
• pp.52-61
• /
• 2015

In the past decade, East Asian Research has received attention from researchers as well as in South Korea society-at-large. The broad category of East Asian Research includes various disciplinary fields, such as "history, economics, and politics; however, few studies have used quantitative analysis to explore its development. In this paper, we used network analysis to identify the disciplines and active research areas, focusing on productivity, collaboration patterns, and citation networks of East Asian Research in South Korea. For this study, 6,646 journal publications related with East Asian Research and indexed by KCI (Korean Citation Index) during the 10-year period of 2004-2013 were considered. Results show that East Asian Research was led during this period by sole-researchers, rather than interdisciplinary studies. Moreover, a co-institution network represents active institutions with a high degree and collaborative centrality. In terms of journal-journal citation networks, journals belonging to both "history" and "Korean literature" disciplines were dominant.

• Herbal Formula Science
• /
• v.18 no.1
• /
• pp.57-77
• /
• 2010

Objective : This study reviews the recent trend of oriental medical prescription research. The data examined are the articles published in the Korean Journal of Oriental Medical Prescription from 1990 to 2009. Method : The data are retrieved through the internet database Oriental Medicine Advanced Searching Integrated System (OASIS) and the collection of the Korean Journal of Oriental Medical Prescription. The number of articles examined is 385, published in 25 volumes of the journal. This study examines the nature of the articles, research methods, subjects, and author information. Research subjects are sorted out by the OASIS key words for the articles published before 1999, and by key word indexes cited in the abstracts for the articles published sinceafter. Results : Among the 385 articles collected, 206 are research articles, 143 philological articles, 35 case studies, and 1 special contribution. A majority of research articles are experimental studies (199 articles or 96.6%), while clinical reports (5 articles or 2.43%), and others studies (2 articles) occupy a small portion. Most of experimental studies (183 articles or 91%) examine the effectiveness of certain prescriptions or treatments. Among the effectiveness studies, 114 articles (62.3%) employ in vivo experiment design, 52 articles (28.42%) in vitro experiments, and 17 articles (9.29%) both in vivo and in vitro experiments. In terms of research subject, the most frequently indexed key words are hepatotoxicity among diseases (9 articles), Bojungikgitang (Bu-Zhong-Yi-Qi-Tang) among prescriptions (10 articles), Buja (Acontii Tuber) among meteria medica (4 articles), immunity and anti-oxidation among efficacy terminology (6 articles each), and Donguibogam(東醫寶鑑) among references in the key words (25 articles). Universities are the main affiliation of authors (76.42%), followed by university hospitals (6.71%), non-academic research institutes (5.55%), local clinics (4.67), academic research institutes (2.81%), hospitals (2.38%), and others (1.44%). The most affiliated institute of the first and correspondent authors is Wonkwang University. In terms of authorship, co-authorship outnumbers sole-authorship by 82.08% to 17.92%. The proportion of authors of a single article is 63.54% which is near the author productivity distribution described by Lotka's law.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.30 no.4
• /
• pp.537-544
• /
• 2020

Advances in detection techniques, such as mutation and obfuscation, are being advanced with the development of malware technology. In the malware detection technology, unknown malware detection technology is important, and a method for Malware Authorship Attribution that detects an unknown malicious code by identifying the author through distributed malware is being studied. In this paper, we try to extract the compiler information affecting the binary-based author identification method and to investigate the sensitivity of feature selection, probability and non-probability models, and optimization to classification efficiency between studies. In the experiment, the feature selection method through information gain and the support vector machine, which is a non-probability model, showed high efficiency. Among the optimization studies, high classification accuracy was obtained through feature selection and model optimization through the proposed framework, and resulted in 48% feature reduction and 53 faster execution speed. Through this study, we can confirm the sensitivity of feature selection, model, and optimization methods to classification efficiency.

• Journal of the Economic Geographical Society of Korea
• /
• v.15 no.4
• /
• pp.493-514
• /
• 2012

Research collaboration between industry and universities is high on many policy agenda's nowadays, especially with regard to science-based technological innovation. Nonetheless, there have been few attempts at examining large-scale systematic and quantitative data on the nature and extent of university-industry collaborations. The objective of this paper is to explore the patterns and trends of research collaborations between universities and companies for scientific knowledge production in the seven science-based technologies. This paper uses co-authored articles published in major scientific journals in the world as an indicator of collaborative scientific research between universities, companies and governmental research institutes. The tens of thousands of co-authorship papers in the northeast region in the US over the years 2006 to 2010 were analyzed for collaboration patterns and their spatial characteristics. This paper finds that there were increases both in the proportions of multiple authored, particularly five or more, papers, and in the volume of international collaborations. By examining a type of collaborations between different institutions, research collaboration between universities and companies in this region is relatively high share at national level. This suggests that the national or even international scale seems more appropriate for innovation policies.

• International Journal of Knowledge Content Development & Technology
• /
• v.13 no.3
• /
• pp.47-56
• /
• 2023

This study depicts a Scientometric technique of Bifurcation Research output in India for around five years during 2016-2020. It is an active field of analysis in which the bulk of investigation is being done. Scopus is an advanced research platform, assisting in finding, probing and yielding information in the sciences, social sciences, arts, and humanities. The contemporary study discusses the "Bifurcation" as reflected in SCOPUS for 2016-2020. This study examines the highly prolific authors, document type etc. The study exhibited that 2017 shown maximum research papers 1700 (20.44%), the lowermost maturity rate was deciphered in 2018 (19.65%), the standard value of the period of collaboration is 0.18. The time series examines for single-authored, multi-authored, and collaborative papers are 137.8, 1564 and 1701.8 respectively.

• Journal of Contemporary Eastern Asia
• /
• v.13 no.1
• /
• pp.19-37
• /
• 2014

In an attempt to develop comprehensive evidence-based methods for evaluation of the R&D performance of cross-disciplinary projects, a joint bibliometric analysis of patents and publications was performed for two industry-university-government collaborative projects aimed at commercialization: Hokkaido University Research & Business Park Project (2003-2007; 63 inventors; 176 patents; 853 papers), and Matching Program for Innovations in Future Drug Discovery and Medical Care - phase I (2006-2010; 46 inventors; 235 patents; 733 papers). Besides the simple output indicators (for five years period), and citations (from the publication date to the end of 2012), science maps based on the network analysis of words and co-authorship relations were generated to identify the prominent research themes and teams. Our joint analysis of publications and patents yields objective and mutually complementing information, which provides better insights on research and commercialization performance of the large-scale projects. Hence, such analysis has potential for use in the industry-university project's performance evaluation.