• Journal of Technology Innovation
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• v.13 no.3
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• pp.197-224
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• 2005

Recently, the notion of National Innovation System (NIS) has attracted considerable attention as a key driver of the economic success. Amongst others, the Northeast Asian countries deserve highlight as central cases of NIS. This research attempts to examine inter-industrial knowledge flows and structure among Northeast Asian countries. To this end, Korea, Japan and Taiwan are selected and the patent citation data, a proxy of disembodied knowledge flows, from United Stated Patents and Trademark Office (USPTO) are employed for cluster analysis and network analysis. Some meaningful findings are presented and distinctive characteristics of respective countries are contrasted.

• 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.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.18-29
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• 2022

The purpose of this exploratory study is to examine the intellectual structure of data science. For this purpose, this research examined a total of 17,997 bibliographies on data science indexed in Web of Science(WoS) of Clarivate Analytics from 2012 to 2021. This research applied methods such as descriptive analysis, citation analysis, co-author network analysis, co-occurrence network analysis, bibliographic coupling analysis, and co-citation analysis. This research contributes to finding the research directions of future data science topics.

• Journal of the Korean Society for information Management
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• v.32 no.4
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• pp.77-106
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• 2015

By document co-citation analysis with Korean Citation Index (KCI) data, this study accurately identified the research fronts and hot topics in Korean library and information science (LIS) from 2004 to 2013. 159 core papers in LIS domain and their citations are scraped manually from Korean Citation Index web site. In the cluster analysis and network analysis, 159 core papers were grouped into 27 clusters with multiple papers and 8 singlton clusters. Among the 27 clusters which have multple papers, 'LIS education' cluster was the largest with 16 core papers, and 'citation analysis & intellectual structure analysis' cluster had the strongest citation impact according to the ehs-index. Closer observation of the citations to the core papers in each research front showed that 67.5% of the citations were made by LIS research papers and 32.5% of the citations were made by non-LIS research papers. Considering the share of citations and the citation impact growth index, 'local documentation', 'citation analysis & intellectual structure analysis', and 'research trends analysis' were identified as the most emerging research front in Korean library and information science. The analytical methods used in this study have great potential in discovering the characteristics of research fronts in Korean interdisciplinary research domains.

• The Journal of the Korea Contents Association
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• v.19 no.11
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• pp.262-269
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• 2019

References at the end of an academic paper are information that helps authors keep their research ethics, readers refer to related prior studies. Also references are useful information for linking citations and citations between articles. As bibliography metrics develops, bibliographic data is used as an important data for assessing the academic influence of countries, institutions and individual researchers. However, it is not easy to identify and link the reference data due to the diversity of the bibliographic citation formats, the loss of information due to the abbreviation of journal names and author names, and typos by authors. This study investigated the method of improving the bibliographic data mapping rate by analyzing the unmapped cases. As a result, it was found that the main cause of the article-reference mapping failure was the similarity of abbreviated journal names. Research team suggested that continuous management of journal title authority data and improving the DOI registration rate as ways to improve the identification and mapping rate. This study is differentiated from other studies in used database. Bibliography mapping was attempted for domestic and foreign integrated journal database that is mainly subscribed, used, published and cited in Korea. Through reference construction volume and mapping rate improvement, it can be used as citation analysis and service database reflecting domestic situation that is different from overseas citation index database.

• 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.54 no.4
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• pp.221-238
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• 2020

This study aims to investigate the scholarly communications and citation influences in library and information science field by conducting journal citation network analysis. For data collection, four major journals in library and information science field were chosen and 4,471 of research papers and 18,424 of citation records were collected from Korean Citation Index. The results show that Journal of the Korean Society for Library and Information Science was the most influential journal with highest citation in LIS fields, while Journal of the Korean Society for Library and Information Science Management influenced other research fields.

• Journal of the Korean Society for Library and Information Science
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• v.52 no.4
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• pp.71-90
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• 2018

The importance of citation measures has been increasing in the evaluation of scholarly journals and it becomes a major issue for Korean Citation Index (KCI) journals. The Journal Impact Factor (JIF), a widely used measure for academic journals, has a problematic issue that it does not include the number of citations for a paper immediately made in the year in which the cited paper was published. On the contrary, the Diachronous Impact Factor (IMP) includes the number of citations made in the published year, but IMP is a measure for papers published a few years ago, not in the last year. It does not represent the recent value of journals effectively. To overcome these problems, Total Impact Factor (TIF) and Mean Impact Factor (MIF) are proposed as new journal citation indicators. This study calculated the performance of proposed indicators experimentally on KCI data. The result shows that TIF is a promising measure for the multidimensional evaluation of humanities and social sciences journals in Korea because it has high stability by year and includes the immediate citations of the published year.

• Journal of Korea Technology Innovation Society
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• v.21 no.3
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• pp.1127-1154
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• 2018

This paper aims to contribute to estimating the value of a patent by explaining the unobservable attributes of patent quality using observable patent citation indices. The paper first constructs patent citation data and identifies firm, university, and research institute among assignees, and then tries to explain attributes of patent quality using backward citation indices. Backward citation indices carrying information about technological sources which a given patent is based on turn out to be good predictors of forward citation indices carrying information about attributes of patent quality. Finding the functional relationships between attributes of patent quality and backward citations will lead to the improved estimation and prediction of patent value. It is found out that backward citation indices are strongly correlated the technological diversity of a patent. The paper also suggests that with whom an organization chooses to collaborate affects the attributes of patent quality.

• Journal of Intelligence and Information Systems
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• v.14 no.2
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• pp.121-136
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• 2008

Although domestic research funding organizations require patented technologies as an outcome of financial aids, they have much difficulty in evaluating qualitative value of the patented technology due to lack of systematic methods. Especially, because citation data is not essential to patent application in Korea, it is very difficult to evaluate a patent using the incomplete citation data. This study proposes a method for evaluating technology importance of a patent when there is no or insufficient citation data in patents. The technology importance of a patent can be evaluated objectively and quantitatively by the proposed method which consists of 5 steps such as selection of a target patent, collection of related patents, preparation of key word vector, clustering patents, and technological importance assessment. The method was applied to a patent on 'user identification method for payment using mobile terminal' in order to evaluate technology importance and demonstrate how the method works.