• Journal of the Korean Society for information Management
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• v.38 no.4
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• pp.65-82
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• 2021

The purpose of this research is to explore the phenomenon of the sharing, reuse, and citation of research software. These practices are playing an increasingly important role in scholarly communication. The researchers found that the citation and reuse of research software are currently uncommon or at least not reflected in the Data Citation Index (DCI). Such citation was observed, however, for the newer software in a number of prominent repositories. The repositories Comprehensive R Archive Network (CRAN) and Zenodo received the most formal software citations. The researchers observed both formal and informal forms of citation when researchers reused software. The latter form involves mentioning research software in passing in the main text of articles, while formal citations appear in the references section. In addition, our comparative analysis helps to explain the phenomenon of self-citation of research software.

• Journal of the Korean Society for information Management
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• v.38 no.1
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• pp.53-69
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• 2021

This study aims to understand the research landscape of South Korea using the data of 2020 Google Scholar Metrics. To achieve the goal, we constructed and analyzed four types of networks including the university collaboration network, the keyword co-occurrence network, the journal citation network, and the discipline citation network. Through the analysis of the university collaboration network, we found major universities such as Seoul National University, Keimyung University, and Sungkyunkwan University that have led collaborative research. Job related keywords such as job change intention and job satisfaction have been frequently studied with other keywords. Through the analysis of the journal citation network, we found multiple journals such as The Journal of the Korea Contents Association, Korean Journal of Sociology, and Korean Journal of Culture and Social Issues that have been widely cited by the other journals and influenced them. Finally, Education, Business administration, and Social welfare were identified as the top influential disciplines that have influenced other disciplines through the knowledge diffusion. The study is the first of its kind to use the data of Google Scholar Metrics and conduct a stepwise network analysis (e.g., keyword, journal, and discipline) to broadly understand the research landscape of South Korea. Our results can be used by government agencies and universities to develop effective strategies of promoting university collaboration and interdisciplinary research.

• 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 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.27 no.1
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• pp.103-118
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• 2010

Recently, the valuation of patented technology has been greatly emphasized, and patent citation has been accepted as a very useful index of this technology. In this study, we performed correlation analyses between the patent citation counts and 17 explanatory variables of morphological, technological, and conceptual factors with a test dataset of U.S. patents in five subject fields. Seven variables having 5% or more standardized variances($r^2$) with patent citation counts were identified; number of pages, number of claims, reference-average-citation rate, patent increase/decrease rate, strength of bibliographic coupling, co-citation counts and document similarity. The result of the ANOVA test shows that the mean values of these variables vary among most subject fields.

• 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 Korean Library and Information Science Society
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• v.51 no.1
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• pp.179-200
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• 2020

This study aims to detect the knowledge structure of Korean studies using document co-citation analysis and text mining techniques. This study divided Korean corpus into two perspectives: Self-perceived and others' perceived Korean studies. To this end, we collected 10,929 humanities and social literature containing the word Korea or Korean as a keyword in the SCOPUS database. As a result of analysis, a total of 20 subdomains were found in the knowledge structure of self-perception, and a total of 14 subdomains were found in the knowledge structure of otherts' perception. Differences in Korean Studies between two are: First, the sub-area of self-perceived Korean studies is subdivided into more diverse areas than the sub-area of other-perceived Korean studies. Second the major areas in self-perceived Korean studies are customers and services, industrialization, multiculturalism, mental health, tourism, Korean language, environment, and cities. Others' perceptions of Korean Studies are grouped into domestic and foreign situations of Korea, Korean pop culture, Koreans as US immigrants, and Korean language. Finally, the common areas of self-perception and others' perception were mental health, tourism, Korean language, North-Korean defectors, and juvenile delinquency.

• Bulletin of the Society of Naval Architects of Korea
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• v.31 no.2
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• pp.43-46
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• 1994

VIP는 유동장을 영상기록매체에 기록하여 보존 및 재생이 가능함으로서 유동장의 재현성문제를 쉽게 해결할 수 있는 장점을 아울러 가지고 있다. 따라서, VIP는 비정상, 동시다점 계측 및 유 동장의 재현성확보가 원리적으로 가능함으로서 CFD에 필적할 수 있는 유일한 실험기법으로 평 가되고 있다. 본 해설에서는 이에 관한 내용을 개설적으로 정리하고자 하며, 상세한 것은 참고 문헌을 인용하기로 한다.

• 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.39 no.3
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• pp.479-500
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• 2008

This study investigates Kim Inhue's view of reading through the analysis of reference books in Haseo-Chunjib(하서전집). As the result, he had read 123 different books ar least. He had quoted frequently $Sish{\bar{u}}$ $S{\bar{a}}nj{\bar{i}}ng$(사서삼경), $Sh{\check{i}}ji$(사기), $H{\grave{a}}nsh{\bar{u}}$(한서), $Zhu{\bar{a}}ngz{\check{i}}$(장자), $G{\check{u}}wenzh{\bar{e}}nb{\check{a}}o$(고문진보), $Ch{\check{u}}c{\acute{i}}$(초사), $W{\acute{e}}nxu{\check{a}}n$(문선). He had read books beyond the contemporary(sixteen centurtry) scholar's common list, and had enjoyed reading over the boundaries of stereotyped idea. While he had emphasized on the scripture of Confucian, had earned more knowledges for usefulness and the bases of scholarly writings by reading a wide spectrum of books.