• Journal of the Korean Society for information Management
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• v.31 no.3
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• pp.227-247
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• 2014

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.

• Journal of the Korean Society for information Management
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• v.35 no.1
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• pp.13-32
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• 2018

The purpose of this study is to analyze the association among the subject areas of big data research papers. The subject group of the units of analysis was extracted by applying co-citation networks, and the rules of association were analyzed using Apriori algorithm of R program, and visualized using the arulesViz package of R program. As a result of the study, 22 subject areas were extracted and these subjects were divided into three clusters. As a result of analyzing the association type of the subject, it was classified into 'professional type', 'general type', 'expanded type' depending on the complexity of association. The professional type included library and information science and journalism. The general type included politics & diplomacy, trade, and tourism. The expanded types included other humanities, general social sciences, and general tourism. This association networks show a tendency to cite other subject areas that are relevant when citing a subject field, and the library should consider services that use the association for academic information services.

• Journal of Korean Library and Information Science Society
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• v.50 no.3
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• pp.23-47
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• 2019

In order to ascertain disciplinary differences in publication patterns that can help improve assessment of research performance in Korea, we analyzed the bibliometric data of six disciplines from Korea Citation Index. Results showed differences in research size, competitiveness, productivity, impact, and collaboration among disciplines. Disciplines in science were the largest in terms of author and institution followed by humanities and social science, but humanities produced the most publications per author, followed by social science and science disciplines. Sociology publications received most citation per paper but humanities received most citations per author, which was greatly influenced by the number of co-authors per paper. Distribution of author counts per paper varied widely across disciplines. Humanities were dominated by single-author publications, whereas the majority of publications in sciences were co-authored. The study also highlighted differences in citation lag time and illustrated differences in distribution and impact of core authors and institutions across disciplines.

• Journal of the Korean Society for information Management
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• v.34 no.3
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• pp.109-124
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• 2017

Through a wide variety of disciplines, practices on data access and re-use have been increased recently. In fact, there has been an emerging phenomenon that researchers tend to use the data sets produced by other researchers and give scholarly credit as citation. With respect to this practice, in 2012, Thomson Reuters launched Data Citation Index (DCI). With the DCI, citation to research data published by researchers are collected and analyzed in a similar way for citation to journal articles. The purpose of this study is to identify the characteristics and intellectual structure of sociology field based on research data, which is one of actively data-citing fields. To accomplish this purpose, two data sets were collected and analyzed. First, from DCI, a total of 8,365 data were collected in the field of sociology. Second, a total of 12,132 data were collected from Web of Science with a topic search with 'Sociology'. As a result of the co-word analysis of author provided-keywords for both data sets, the intellectual structure of research data-based sociology was composed of two areas and 15 clusters and that of article-based sociology was composed with three areas and 17 clusters. More importantly, medical science area was found to be actively studied in research data-based sociology and public health and psychology are identified to be central areas from data citation.

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

• Asia pacific journal of information systems
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• v.7 no.3
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• pp.145-165
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• 1997

Thie study examines MIS researchers, research themes, methodology, and intellectual structure in order to analyze general research patterns in the field of MIS. The methods used for this study are subject analysis of the journal articles, citation analysis, and author co-citation analysis, The source articles are all the papers in $\lceil$Journal of Korean MIS Society$\rfloor$ and MIS papers in $\lceil$Korean Management Review$\rfloor$ and $\lceil$Journal of Korean MS/OR Society$\rfloor$. In results, core journals in MIS are MIS Quarterly, Management Science, and Communications of ACM. Core authors inlcude Ives, DeSanctis, Ginzberg, Lucas, Rockart, and Davis. The major areas in Korean MIS research turn out to be information system management, DSS/GDSS strategic information systems and AI applications.

• Journal of the Korean Society for Library and Information Science
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• v.19
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• pp.243-261
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• 1990

계량서지학이 도서관 정보학 분야에 응용된 지 20년이 지난 지금, 이론 및 실무에 남긴 발전적 기여를 고찰함과 동시에, 컴퓨터를 비롯한 정보기술의 발달로 계량서지학의 가치와 중요성은 한층 더 폭넓게 인지되고 있다. 본 연구는 계량서지학의 개념 정리와 그 특성을 분석함으로써 다양한 이론적 근거 및 장$\cdot$단점을 파악하여 향후 연구방향 설정에 기초를 제시함을 그 목적으로 한다. 문헌구조를 분석하는 군집분석(cluster analysis), 동시인용분석(co-citation analysis), 인용문맥분석 (citation context analysis), 다차원축적기법(multidimensional scaling technique) 등에 대한 최근의 연구 동향 및 추이를 분석함으로써 도서관 실무 혹은 정보시스팀에 계량서지학의 실제 응용을 제시하였다. 아울러, 계량서지학의 3대법칙-Lotka's law, Brandford's law, Zipf's law-의 발달 단계, 상관관계 및 응용분야를 연구함으로써 전반적인 도서관 관리와 이론정보학의 연구방향을 설정하고 있다.

• Journal of Contemporary Eastern Asia
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• v.18 no.1
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• pp.7-29
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• 2019

This study describes an approach for comparative bibliometric analysis of scientific publications related to (i) individual or several departments comprising a university, and (ii) broader integrated subject areas using multiple disciplinary schemes. It uses a custom dataset of scientific publications (ca. 15,000 articles and reviews, published during 2009-2013, and recorded in the Web of Science Core Collections) with author affiliations to the research departments, dedicated to science, technology, engineering, mathematics, and medicine (STEMM), of a comprehensive university. The dataset was subjected, at first, to the department level and discipline level analyses using the newly available KAKEN-L3 classification (based on MEXT/JSPS Grants-in-Aid system), hierarchical clustering, correspondence analysis to decipher the major departmental and disciplinary clusters, and visualization of the department-discipline relationships using two-dimensional stacked bar diagrams. The next step involved the creation of subsets covering integrated subject areas and a comparative analysis of departmental contributions to a specific area (medical, health and life science) using several disciplinary schemes: Essential Science Indicators (ESI) 22 research fields, SCOPUS 27 subject areas, OECD Frascati 38 subordinate research fields, and KAKEN-L3 66 subject categories. To illustrate the effective use of the science mapping techniques, the same subset for medical, health and life science area was subjected to network analyses for co-occurrences of keywords, bibliographic coupling of the publication sources, and co-citation of sources in the reference lists. The science mapping approach demonstrates the ways to extract information on the prolific research themes, the most frequently used journals for publishing research findings, and the knowledge base underlying the research activities covered by the publications concerned.

• Journal of the Korean Society for Library and Information Science
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• v.21
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• pp.225-248
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• 1991

The paper suggests newly conceptualized information retrieval system on the notion of citation analysis. The paper also criticizes the traditional information retrieval techniques using Boolean logic. The underlying assumption of this paper is that any pair of papers cited by one paper could be strongly related each other in meaning (Co-citation Analysis). And also any two papers to share same references could be similar each other (Bibliographic Coupling), By using graph algorithm, the networks of two kinds of the papers (the citing group, the cited group) is made in the fields of the genetics and the information and library science. The results say that the maps or networks for cited and citing groups can be useful when applied to the paper set made by the broad searching by subjects or keywords.

• Journal of the Korean Society for information Management
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• v.27 no.3
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• pp.83-102
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• 2010

This study aims to understand and compare the characteristics of two major approaches to solving global environmental problems - an academic approach including scholarly activities of environmental sciences and a practical approach of environmental movements led by NGOs - by employing informetric analysis methods. Knowledge structure of environmental sciences is depicted through co-citation networks of subject categories assigned to the cited journals in the discipline of environmental sciences for the 10-year period from 2000 to 2009. Furthermore, major interests of environmental NGOs are identified on the basis of external link data collected from web sites of the NGOs. Co-word analyses are also performed using the texts of journal papers in environmental sciences as well as news articles provided by NGO sites. Through the analyses, dominant subject areas of environmental sciences and environmental movements are identified demonstrating similarities and differences between the two approaches.