• Journal of the Korean Society for information Management
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• v.25 no.1
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• pp.173-190
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• 2008

Author co-citation analysis(ACA) technique has been widely used for identifying research areas and trends in a discipline. But this technique has some limitations, mainly due to citation delay, on analyzing current trends and identifying active researchers. In this study, a new method, named as Bibliographic Author Coupling Analysis (BACA), is suggested for overcoming those limitations of author co-citation analysis. BACA is based on Kessler's bibliographic coupling approach and focuses not on documents but on authors. Simply stated, BACA technique assumes that those likewise citing authors have the same research interests. For the purpose of comparing with author co-citation analysis, two preceding studies with author co-citation analysis are reconsidered and re-examined using BACA. The comparing results can be regarded as promising the usefulness of BACA in analyzing current research trends and identifying active researchers.

• Journal of the Korean Society for information Management
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• v.27 no.3
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• pp.283-306
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• 2010

This study intended to make new suggestions by clarifying usefulness of analysis methodology for the intellectual structure of disciplines, which combines author co-citation analysis and author bibliographic coupling analysis. It also aimed to identify the recent research trend and key researchers recently doing research activities actively as well as the intellectual structure in the field of social welfare. It was found to be more efficient to conduct both author co-citation analysis and author bibliographic coupling analysis in order to identify traditional sub-areas of disciplinary subject or the research trend of actual researchers in examining the intellectual structure of a specific discipline.

• Journal of the Korean Society for information Management
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• v.28 no.1
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• pp.123-144
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• 2011

This study compared Author Profiling Analysis(APA) to Author Co-Citation Analysis (ACA). The former is a new analytic technique on the intellectual structure of a science whereas the latter is a traditional analytic technique. The purpose of this study was to propose appropriate methods to analyze intellectual structure of a science in the Korean research environment. In order to achieve the goal, this study adopted APA using Text Mining for analysis on the intellectual structure of a science rather than relying on citation index in order to determine a potential utility of the new analytic technique that can identify the intellectual structure.

• Journal of Information Management
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• v.24 no.1
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• pp.32-57
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• 1993

The purpose of this study is to analyze the intellectual structure of economics field in Korea by author co-citation analysis and to investigate the limitations of author co-citation analysis by a new method, namely, indexing term analysis of citing documents.

• The Journal of Information Systems
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• v.24 no.4
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• pp.43-60
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• 2015

Purpose This study intended to introduce new approaches to identify the intellectual structure of supply chain management(SCM) researches, which combines author co-citation analysis(ACA) and social network analysis(SNA). Design/methodology/approach We searched RISS(www.riss.kr) and NDSL(www.ndsl.or.kr) database and collected 292 academic papers on supply chain management between 2001 and 2011. Among 9,637 references of these papers, we analyzed 1,848 references that were published by domestic authors. We produced a correlation matrix of 32 author co-citation matrix and conducted multi-variate statistical analysis such as factor analysis. We also performed social network analysis to identify the main researchers in SCM. Findings We found four main sub-areas of supply chain management research: SCM adoption factors, logistics, SCM performance, and SCM structure. We could present the authors who played important roles within the network by using SNA indicators. The finding of this research also suggests more collaborations among domestic researchers are required to overcome the low co-citation rates among domestic authors.

• Journal of the Korean Society for Library and Information Science
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• v.22
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• pp.331-360
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• 1992

This research presents author co-citation analysis of the subject area in the humanities - Korean history. Three approaches to multivariate analyses were used to display the inter-author relationships in the similarity matrix. Data on co-citation of sixty seven authors for the period of 1980­1989 were extracted from the database constructed by author. The author's name, here refers to a body of writings by a person, is the unit of analysis. The data were subjected to non-metric multidimensional scaling program create two-dimensional map of authors. Authors with similarity are clustered using hierarchical agglomerative procedure and it is found that five clusters in Korean history represent primarily research specializations. Author map of Korean history reveals the first dimension corresponding to subject orientation of authors and the second dimension corresponds to research method or research style. In factor analysis, each factor reflects research specialty made up of authors, and factor locadings demonstrate the breadth or concentration of sixty seven authors' scholarly contributions on Korean history. It is demonstrated that the· specific methodology employed by this research, author co-citation analysis, is useful to represent the intellectual structure of Korean history.

• Journal of Korean Library and Information Science Society
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• v.32 no.3
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• pp.169-197
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• 2001

This study investigated the intellectual structure of Korean library and information science and its change in the 1990s using author co-citation analysis. The citation data came from in 3 journals in the field of library and information science from 1990 through 1999, and 50 authors were selected and analyzed in detail by means of multi-variate statistical techniques such as multidimensional scaling, cluster analysis, factor analysis and crosstab analysis in order to excess the intellectual structure of discipline and its changing research patterns.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.4
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• pp.269-284
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• 2022

Exploring research similarity of researchers offers insight on research communities and potential interactions among scholars. While co-authorship is a popular measure for studying research similarity of researchers, it cannot provide insight on authors who have not collaborated yet. In this work, we present novel approach to capture research similarity of authors using citation information. Extensive study is conducted on DATA & KNOWLEDGE ENGINEERING (DKE) publications to demonstrate and compare suggested approach with co-authorship based approach. Analysis result shows that proposed approach distinguishes author relationships that is not shown in co-authorship network.

• Journal of the Korean Society for information Management
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• v.10 no.1
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• pp.65-96
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• 1993

This research fulfills two objectives of the study relating to the analysis of changing intellectual structure and its development of Korean history during 1980s: 1) investigation of intellectural structures of two successive time periods using author co-citation study analysis: 2) validation of the results of author co-citation analysis using assessments of experts collected from scholarly reviews and direct data drawn from the researchers in the area of Korean history. Three approaches to multivariate analysis as multi-dimensional scaling, cluster analysis, and factor analysis are used to display the inter-author relationships in the author similarity matrix.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.4
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• pp.311-331
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• 2023

This study attempted to explore the characteristics of knowledge communication and investigate important research topics and key authors by analyzing major academic papers in the field of LIS in Korea for five years from 2018 to 2022. The research method collected and analyzed papers published for five years in four key journals in the field of domestic Library and Information Science from the Korean Citation Index (KCI) database. The paper was selected to extract the author data of the paper and the data of the reference, and network visualization was performed by conducting literature co-citation analysis and author co-citation analysis using Netminer. As a result of the analysis, it was possible to derive a pair of co-citations between authors, and it was confirmed that it is important to include multiple authors in the intellectual structure analysis in the academic field through co-citation frequency analysis among researchers. The literature confirmed the correlation between the topics of the paper, and it was found that research related to Library and Information Science was centered on the topics of library, digital, user, service, and data.