• Journal of the Korean Society for Library and Information Science
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• v.40 no.3
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• pp.191-214
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• 2006

Recently, some bibliometric researchers tried to use the centrality analysis methods and the centrality measures which are standard tools in social network analysis. However the traditional centrality measures originated from social network analysis could not deal with weighted networks such as co-citation networks. In this study. new centrality measures for analyzing bibliometric networks with link weights are suggested and applied to three real network data, including an author co-citation network, a co-word network, and a website co-link network. The results of centrality analyses in these three cases can be regarded as Promising the usefulness of suggested centrality measures, especially in analyzing the Position and influence of each node in a bibliometric network.

• Journal of the Korean Society for information Management
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• v.37 no.1
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• pp.153-177
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• 2020

In the context of open science, data sharing and reuse are becoming important researchers' activities. Among the discussions about data sharing and reuse, data journals and data papers shows visible results. Data journals are published in many academic fields, and the number of papers is increasing. Unlike the data itself, data papers contain activities that cite and receive citations, thus creating their own intellectual structures. This study analyzed 14 data journals indexed by Web of Science, 6,086 data papers and 84,908 cited references to examine the intellectual structure of data journals and data papers in academic community. Along with the author's details, the co-citation analysis and bibliographic coupling analysis were visualized in network to identify the detailed subject areas. The results of the analysis show that the frequent authors, affiliated institutions, and countries are different from that of traditional journal papers. These results can be interpreted as mainly because the authors who can easily produce data publish data papers. In both co-citation and bibliographic analysis, analytical tools, databases, and genome composition were the main subtopic areas. The co-citation analysis resulted in nine clusters, with specific subject areas being water quality and climate. The bibliographic analysis consisted of a total of 27 components, and detailed subject areas such as ocean and atmosphere were identified in addition to water quality and climate. Notably, the subject areas of the social sciences have also emerged.

• Journal of the Korean Society for information Management
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• v.29 no.1
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• pp.157-174
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• 2012

This paper compares two recent methods for exploring a scientist's research history: citation identity and self-citation network. The former is proposed by White(2000), while the latter is suggested by Hellsten et al.(2007). An experimental citation analysis was carried out on the research output of Young Mee Chung, a renouned Korean information scientist. The result shows that the two methods divided the research period into two sub-periods in the same way. They also identified the major research themes very similarly. In the analysis of each method's performance in depth, the two methods revealed different functions to understand a researcher's history. Citation identity was useful to identify authors who have affected Chung's research in terms of research topics. whereas, self-citation network was successful to identify the core papers and leading papers of the research sub-periods. This study indicates the combination of two methods can provide rich information on a scientist's research history.

• Journal of the Korean Society for information Management
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• v.3 no.1
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• pp.103-135
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• 1986

In this thesis, author cocitation analysis with 45 authors in the field of sociology in general and document cocitation analysis in the specific area of family sociology were executed. The purpose of this study is to examine the meaning of bibliographic phenomena in Korean sociological literature by means of a new bibliometric technique, cocitation analysis, and to approach the intellectual structure of that field in view of multidimensional space.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.27 no.1
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• pp.111-134
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• 2016

The purpose of this study is to investigate and compare the intellectual structure of cardiovascular research area in Korea and the United States. For the purpose of this study, a data set was collected; one journal Korean Circulation Journal is in Korea and two journals Circulation, and Circulation Research are in the United States. Based on the frequency of citation counts, 45 authors and 53 authors were selected for author co-citation analysis. By multidimensional scaling, clustering, and factor analyses, the results demonstrate that researchers in both countries commonly tend to work on several, rather than focus on certain sub-areas. In both countries, the core areas are revealed as 'cardiovascular disease treatment', 'cardiovascular disease diagnose', 'cardiovascular disease fundamentals', and 'cardiovascular disease preventives'. One of distinctive differences between two is that research in Korea is likely to focus on clinical medicines while research in the United States tends to be on fundamental medicines. While the area of 'Disorders of Rhythm' is revealed in Korea, 'Pharmacology of the Cardiovascular System' area is found in the United States. In addition, the sub-areas of fundamental medicines such as 'Epidemiology of Cardiovascular Disease', 'Biology', 'Biochemistry', 'Physiology' are revealed distinctively in the United States.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.31 no.4
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• pp.169-190
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• 2020

The purpose of this paper is to analyze academic papers published by North Korean scientists, to uncover major areas of research in North Korean science and technology, and to uncover the intellectual structures that underlie these science and technology. Through quantitative analysis, it is to find out who the main research actors are, what research areas are being dealt with, which research areas last a long time, which areas have been discontinued, and which research areas are receiving new attention. In order to detect major research areas and intellectual bases in North Korean science and technology, North Korean scientists' articles were collected from WoS (SCIE). CiteSpace, a scientific quantitative analysis tool, was used to identify major research areas based on author simultaneous citation analysis. The main research areas in North Korea are found to be material properties, vibration analysis, incline matrice, sodium cointercalation, and external magnetic field.

• Proceedings of the Korean DIstribution Association Conference
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• 2007.11a
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• pp.109-129
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• 2007

• Proceedings of the Korean Society for Information Management Conference
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• 2014.08a
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• pp.17-20
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• 2014

본 연구는 동시출현 단어분석 기법을 이용하여 최근 전세계적으로 많은 주목을 받고 있는 빅데이터(Big Data) 관련 연구 동향과 연구 영역을 분석하는 것을 목적으로 한다. 이를 위하여 인용색인데이터베이스인 Web of Science SCIE(Science Citation Index Expanded)에서 분석 대상 논문을 수집하였다. 논문 수집을 위한 검색식은 은 Title(논문 제목), Abstract(초록), Author Keywords(저자 키워드), Keywords $Plus^{(R)}$의 네 가지 필드를 동시에 검색하는 주제어(topic)가 "big data"를 포함하고 있는 논문 563편을 대상으로 동시출현단어 분석을 수행하였다.

• Journal of the Korean Society for information Management
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• v.36 no.1
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• pp.117-135
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• 2019

Data journals and data papers have grown and considered an important scholarly practice in the paradigm of open science in the context of data sharing and data reuse. This study investigates a total of 713 data papers published in Scientific Data in terms of author, citation, and subject areas. The findings of the study show that the subject areas of core authors are found as the areas of Biotechnology and Physics. An average number of co-authors is 12 and the patterns of co-authorship are recognized as several closed sub-networks. In terms of citation status, the subject areas of cited publications are highly similar to the areas of data paper authors. However, the citation analysis indicates that there are considerable citations on the journals specialized on methodology. The network with authors' keywords identifies more detailed areas such as marine ecology, cancer, genome, database, and temperature. This result indicates that biology oriented-subjects are primary areas in the journal although Scientific Data is categorized in multidisciplinary science in Web of Science database.

• Journal of the Korean Society for information Management
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• v.39 no.2
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• pp.203-232
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• 2022

Drug addiction or substance use disorder is continuously observed worldwide for its risks and prevalence. In this context, numerous studies have been conducted regarding this issue. However, bibliometric analysis related to drug addiction is insufficient. In particular, it is difficult to find research that utilizes a macro-level bibliographic approach that comprehensively reflects various characteristics related to drug addiction. In this study, to reflect the multidimensional features of drug addiction, research trends in drug addiction in social science, natural science, and multidisciplinary studies were compared and analyzed. This study collected drug addiction research articles from 2002 to 2021 by searching from the Web of Science, and classified academic disciplines based on SCI(E) and SSCI information. Author keyword co-occurrence analysis was also conducted, which provided confirmation that natural science mainly studied psychoactive substances and the reward system in the brain, while drug addiction studies reflecting demographic characteristics were conducted in the domain of social science. In the multidisciplinary field, all of the above topics were covered. Author co-citation analysis was also employed, which showed that there are superstars (i.e., authors who receive a rigorous amount of citation) in the field of natural science, while in the social science domain, authors were highly cited not only at the individual level but also at the institutional level.