• 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.

• The Journal of Information Systems
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• v.28 no.3
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• pp.39-58
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• 2019

Purpose A digital twin is a digital replication of a physical system. Gartner identified the digital twin as one of the Gartner Top 10 Strategic Technology Trend for three years from 2017. The rapid development of the digital twin market is expected to bring about innovation and change throughout society, and much research has been done recently in academia. In this research, we tried to explore the main research trends for digital twin research. Design/methodology/approach We collected the digital twin research from Web of Science, and analyzed 804 articles that was published during time span of 2010-2018. A total of 41 key authors were selected based on the frequency of citation. We created a co-citation matrix for the core authors, and performed multivariate analysis such as cluster analysis and multidimensional scaling. We also conducted social network analysis to find the influential researchers in digital twin research. Findings We identified four major sub- areas of digital twin research: "Infrastructure", "Prospects and Challenges", "Security", and "Smart Manufacturing". We also identified the most influential researchers in digital twin research: Lee EA, Rajkumar R, Wan J, Karnouskos S, Kim K, and Cardenas AA. Limitation and further research suggestion were also discussed as a concluding remarks.

• Journal of the Korean Society for information Management
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• v.11 no.1
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• pp.57-79
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• 1994

This study investgated citation pattems of publication by researchers in eledncal and electronics engineering in Korea. As sources to derive citation$ Koran Peridcals Index (KPI) and the INSPEC database were seleded, and some 235 articles indexed in KPI and 189 arbcles indexed in INSPEC yielded 3,414 citations. It Identhd the citation behavior of researchers in the field, compared citabn behavior by author affhation (government, universities, and industry/cnmprues), and compared the catation patterns exhibited by articles taken from Kroean and non- Korean publications. Based on the fin-, it was concluded that the citation analysis results could ydd helpful information for the provision of library and information center services and collection development. It a h provided recommendation for the mformation senrim in the field of electrical and electronics engineering.

• 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.50 no.1
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• pp.189-207
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• 2016

Sharing and reutilizing of research data could not only enhance efficiency and transparency of research process, but also create new science through data integrating and reinterpretationing. Diverse policies about research data sharing and reutilizing have been developing, along with extending of research evaluating spectrum that across research data citation rate to social impact of research output. This study analyzed the scale and citation number of research data which has not been analyzed before in korea through data citation index using Kruskal-Wallis H analysis. As result, genetics and biotechnology are identified as subject areas which have most huge number of research data, however the subject areas that have been highly cited are identified as economics and social study such as, demographic and employment. And Uk Data Archive, Inter-university Consortium for Political and Social Research are analyzed as data repositories which have most highly cited research data. And the data study which describes methodology of data survey, type and so on shows high citation rate than other data type. In the result of altmetrics of research data, data study of social science shows relatively high impact than other areas.

• Journal of the Korean Society for Library and Information Science
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• v.44 no.2
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• pp.357-379
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• 2010

The citation analysis is not applied to group measurements but to individual papers finding their impact factors among citation chains which are created by tracing citing-cited relationship between any two papers in data set. The individual impact factor is measured by adding each value derived from citation chain. Each paper's impact factor index is calculated by adding the values of each index by direct citing-cited relationship, and the values of each impact factor made by indirectly influencing to the papers in the citation chain. The research introduces a grace period, in which the system holds the papers not cited by other papers yet, but are expected to be cited within this period. Eventually not cited papers after the grace period would be eliminated by the system. The experiment suggests a reasonable database in which the highly influenced papers are gathered, and could be serviced in stead of buying databases filled with worthless not-cited-papers.

• Journal of the Korean Data and Information Science Society
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• v.25 no.2
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• pp.317-325
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• 2014

Evaluating contents and quality of the journal along with the research ability of researcher is becoming an important issue recently. This research compared level of impact of the journals related to statistics in nation, 'Journal of the Korean Data & Information Science Society'-centric, using various KCI citation index. Moreover, this research surveyed network between the journals in the aspect of social network analysis, using co-citation frequency. From that, the following conclusions were drawn. First, percentage of self-citation was relatively high. Second, even though Statistics journal had higher impact index than the mathematics, physics and chemistry, frequency of citing statistics journal in other journals was not that high. Third, 'Journal of the Korean Data & Information Science Society' serves central role in network analysis, however it seems that more efforts are required.

• Journal of Korean Institute of Industrial Engineers
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• v.42 no.3
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• pp.182-197
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• 2016

One of the distinctive characteristics of industrial engineering (IE) is its multidisciplinarity. This paper explores the multidisciplinary nature of IE using journal citation network analysis. Using the relatedness indexes of IE journals obtained from journal citation report (JCR), we firstly construct the IE network only composed of 26 IE journals. The resulting IE network is partitioned into three sub-networks: management engineering, manufacturing/quality, and ergonomics. We then propose the IE convergence network which includes 81 related journals in other disciplines as well as 26 IE journals. Scrutinizing the IE convergence network reveals that IE has a high degree of interactions with seven disciplines : Operations Research and Management Science, Statistics and Probability, Manufacturing Engineering, Computer Science, Engineering Design, Business Management, Human Factors and Ergonomics. We investigate the contributions of the related disciplines to IE as well as contributions of IE to the related disciplines. The role of IE journals in exchanging knowledge with related disciplines is also identified by brokerage analysis. It is shown that visualizing and analyzing the IE convergence network can provide an excellent overview of the multidisciplinary structure of IE, which can help IE researchers easily grasp the state-of-the art of IE research.

• 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.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.1
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• pp.143-151
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• 2015

Technology convergence, recently accelerated in various technical fields, can be achieved by discovering a new technology while exchanging the knowledge among the different technologies and utilizing such knowledge into the existing fields of technology. In particular, technology convergence actively occurs in knowledge-intensive ICT. However, limited research is available on the routes of ICT technical knowledge diffusion because of insufficient data. Therefore, this study built a database on the citations of patent data applied from 2006 to 2013 in Korea and their cited patents. We drew a patent citation network, a technology citation network and an applicant citation network, after which we analyzed the routes of technical knowledge diffusion. Results showed that ICT played a leading role in knowledge citation among technologies and that such diffusion took a shorter time in technology citation when it occurred more frequently and when the citation occurred between ICTs. In addition, most of the ICT showed a strong citation relationship with the other ICTs or such technologies in the field of physics or electricity, whereas electric elements (H01) showed various citation relationships with technologies other than ICT. Furthermore, we found a strong technology diffusion relationship between domestic corporations and domestic natural persons. National organizations often cited the patents of other applicants, whereas the patents of domestic corporations were actively cited between domestic corporations or by other applicants. Thus, this study is expected to be useful in measuring the performance of technologies, including the diffusion to other technologies. As well as in considering the routes of technical knowledge diffusion in Korea.