• 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.

• Proceedings of the Korean Society for Information Management Conference
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• 1999.08a
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• pp.5-8
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• 1999

본 연구는 이용자 지향적인 측면에서 적합문헌평가에 대한 다양한 기준들을 확인하고, 실제 연구자들이 그들의 연구 진행정도에 따라서 적합문헌을 평가하는 기준과 문헌의 적합여부평가에 인식적인 차이를 나타내는지를 밝히는데 그 목적이 있다. 이를 위하여 본 연구에서는 문헌조사연구 방법과 실험연구방법을 병행하여 사용하였다. 먼저 문헌조사 연구를 통하여 본 연구문제의 이론적 배경과 이용자 지향적 적합문헌 평가기준들을 종합적으로 분석하고, 실험에 사용할 평가기준들을 도출하였으며, 실험연구에서는 실제 연구문제를 가지고 있는 5명의 이용자를 무작위로 선정하여 그들의 연구진행 정도에 따른 적합평가기준을 시작(정보입수자각, 관련정보를 수집하는 최초의 단계), 진행(수집정보를 정리하고 초점을 형성, 집필의 시작단계), 완성단계(본격적인 집필과정으로 인용문헌들 결정하는 단계)로 나누어 조사하였다.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.4
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• pp.373-397
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• 2019

Recent disasters are a complex and growing trend. In order to effectively prepare for and respond to disasters that occur without notice, it is very important to use scientific information related to disaster and safety in addition to the standardized disaster safety information that is used. In this paper, we searched and selected major journals in the field of disaster & safety and conducted various network analysis studies using the classification scheme for development of integrated metadata for disaster & safety information developed through Disaster & Safety Information Sharing Platform R&D project as well as KSCD. Also, we have constructed and analyzed citation network, co-authorship network and keyword network through data identification and preprocessing of research paper contents. As a result of this study, based on the network constructed by information analysis unit, the network structure between core domestic and foreign journals, major research institutes, core keywords and individual information by disaster & safety type was identified in detail, and the analysis results were presented on a case-by-case basis.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.11 no.2
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• pp.141-156
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• 2000

The purpose of this article is to give the consideration to possible future research trends and methodological trends of library and information science in Korea. In order to do that, it reviews 10 research papers that are associated with research trends and methodological trends in library and information science and have been published since 1990 in Korea. These 10 papers are divided by three groups for the analysis. The results show that relatively new and various research methods as well as traditional ones should be provided to library and information science. In addition. the research-based knowledge for the library and information science professionals and research method standards for them should be developed.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.3 s.151
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• pp.369-377
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• 2006

The purpose of this study was to examine past trends in the subject matters, authorship, research methods, references by type of source, and publication year of references for articles on history of costume and design and aesthetics published in the Journal of the Korean Society of Clothing and Textiles from 1990 through 2004 to understand the status of research. The data analyzed consisted of 196 out of 1538 articles in a 15-year period. The results were as follows: 1) The percentage of articles on history of costume and design and aesthetics continued to decline, and more studies on design and aesthetics was published than studies on history of costume. 2) Co-authored study by two researchers has continued to increase since 2001. 3) The studies by qualitative methods were higher overall in percentage. However, quantitative methods have increased since 1997.4) Foreign books as a reference represented the largest percentage in all periods but have declined gradually, while domestic journals and theses or dissertations continued to increase in design area. 5) The publication year of references showed the largest percentage in the ' under 10 years ' category. Especially an increasing number of references on design and aesthetics were cited within 5 years of publication.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.3
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• pp.71-96
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• 2023

This study aimed to investigate key research areas in the field of Library and Information Science (LIS) by analyzing trends and identifying emerging topics. To facilitate the research, a collection of 40,897 author keywords from 11,252 papers published in the past 30 years (1993-2022) in five journals was gathered. In addition, keyword analysis, as well as Principal Component Analysis (PCA) and correlation analysis were conducted, utilizing variables such as the number of articles, number of authors, ratio of co-authored papers, and cited counts. The findings of the study suggest that two topics are likely to develop as promising research areas in LIS in the future: machine learning/algorithm and research impact. Furthermore, it is anticipated that future research will focus on topics such as social media and big data, natural language processing, research trends, and research assessment, as they are expected to emerge as prominent areas of study.

• Journal of the Korean Society for information Management
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• v.32 no.1
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• pp.153-169
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• 2015

The combined approach of using ego-centric network analysis and dynamic citation network analysis for refining the result of LDA-based topic modeling was suggested and examined in this study. Tow datasets were constructed by collecting Web of Science bibliographic records of White LED and topic modeling was performed by setting a different number of topics on each dataset. The multi-assigned top keywords of each topic were re-assigned to one specific topic by applying an ego-centric network analysis algorithm. It was found that the topical cohesion of the result of topic modeling with the number of topic corresponding to the lowest value of perplexity to the dataset extracted by SPLC network analysis was the strongest with the best values of internal clustering evaluation indices. Furthermore, it demonstrates the possibility of developing the suggested approach as a method of multi-faceted research trend detection.

• 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 BIBLIA Society for library and Information Science
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• v.1 no.1
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• pp.143-143
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• 1972

• Journal of the Korean Society for information Management
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• v.19 no.3
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• pp.145-160
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• 2002

Different from the existing tendency to mainly concentrate on the study of research activities of the library and information science, this paper places the focus on grasping research patterns presented in the journal papers which reflect library Practices. Actually, this paper analyzes research areas, the degree of relative dependence by subjects, and leading journals found in the papers which have been reported in the three main library journals such as "Tosogwan", "National Assembly Library Review", and "KLA Bulletin : Tosogwanmunwha" from 1996 to 2000. As a result, the study says that major research areas in library practices show the high degree of dependence on the library and information science, while the degree of dependence on the information science is low.he information science is low.