• Spatial Information Research
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• v.23 no.1
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• pp.69-77
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• 2015

The aim of this study is to examine the research trends of global scientific production of Geospatial Information (GI) papers from 1998 to 2013 by using keyword network analysis. This study constructed keyword network model through papers and keywords related to GI research retrieved from the Web of Science DB and performed keyword network analysis such as Degree Centrality, Betweenness Centrality, and Closeness Centrality. The results show that GI has been steadily applied to various fields, and also the research trends of GI techniques could be quantitatively characterized through keyword network analysis. This study result can be applied to establish the policies and the national R&D planning of geospatial information.

• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.1036-1047
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• 2013

In this study, we applied the time series analysis to the randomized controlled trial (RCT) researches related to insomnia for finding international trends. The data used in the analysis of 379 of ClinicalTrials, Web of Science was the of 132 by several keyword related with 'Insomnia' and 'Randomized Clinical Trial'. In ClinicalTials, RCT studies for insomnia, drug, cognitive behavioral therapy, depression were the key words make up the main network. In WOS, 'melatonin' key word was added in the main network. In addition to, we found the characteristic that the elderly and female subjects were steady studied.

• Informatization Policy
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• v.27 no.4
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• pp.24-46
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• 2020

This study proposes a way to timely forecast open government data (OGD) demand(i.e., OGD requests, search queries, etc.) by using keyword network analysis. According to the analysis results, most of the OGD belonging to the high-demand topics are provided by the domestic OGD portal(data.go.kr), while the OGD related to users' actual needs predicted through topic association analysis are rarely provided. This is because, when providing(or selecting) OGD, relevance to OGD topics takes precedence over relevance to users' OGD requests. The proposed keyword network analysis framework is expected to contribute to the establishment of OGD policies for public institutions in the future as it can quickly and easily forecast users' demand based on actual OGD requests.

• Journal of the Korean Society for Library and Information Science
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• v.50 no.3
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• pp.383-402
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• 2016

The purpose of this study is to study library marketing research trends in Korea and other countries through the analysis of author keyword network of peer-reviewed journal articles. The author keyword was collected from four major LIS journals in Korea and Scopus academic database for other countries'. The data was analyzed using NetMiner4 software. The results of the study were as follows: 1) In Korea, lots of library marketing studies focused on public libraries. However, there was a range of library marketing researches focused on academic libraries in other countries, 2) In Korea, there was not a variety of subjects of library marketing studies and the studies were mainly led by a few scholars, 3) In other countries, many scholars paid attention to digital library marketing through social media and/or web, and 4) there little library marketing studies focused on school libraries both in Korea and other countries.

• Journal of the Korean Society for information Management
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• v.31 no.4
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• pp.49-68
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• 2014

The purpose of this study is to perform content analysis of research articles using the language network analysis method in Korea and catch the basic point of the language network analysis method. Six analytical categories are used for content analysis: types of language text, methods of keyword selection, methods of forming co-occurrence relation, methods of constructing network, network analytic tools and indexes. From the results of content analysis, this study found out various features as follows. The major types of language text are research articles and interview texts. The keywords were selected from words which are extracted from text content. To form co-occurrence relation between keywords, there use the co-occurrence count. The constructed networks are multiple-type networks rather than single-type ones. The network analytic tools such as NetMiner, UCINET/NetDraw, NodeXL, Pajek are used. The major analytic indexes are including density, centralities, sub-networks, etc. These features can be used to form the basis of the language network analysis method.

• Journal of the Korean Society for information Management
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• v.37 no.2
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• pp.1-22
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• 2020

The legislative cosponsorship network shows the legislative process of the National Assembly through the relationship between the members of the National Assembly formed by cosponsorship. This study focused on the library bill proposed during the 19th National Assembly term, and conducted the cosponsorship network analysis, the centrality analysis of actors of the National Assembly, and a subgroup analysis of keyword-centric networks. As the result of the study, the library bill's cosponsorship network was segmented according to political parties, and lawmakers who played an intermediary role in close proximity to other political party members had an important influence on the network. When restructured into a keyword-oriented network, the network structure segmented into political parties improved as members of different parties shared the same keywords and formed subgroups. Based on the results, it was suggested that a strategy for spreading and sharing policy issues based on core keywords rather than library legislation, centered on lawmakers who play a mediating role between parties, is needed to activate library legislation.

• Journal of the Korean Society for Library and Information Science
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• v.58 no.1
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• pp.285-302
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• 2024

For this article, we conducted frequency analysis, topic modeling, and network analysis on eleven texts related to collection development policy found in the National Library of Korea. We deduced the main keywords related to collection development policies and analyzed the relationship between them. We subsequently conducted a pie coefficient analysis to identify the characteristics of collection development policies of university libraries and public libraries by category. The results showed that keywords such as "material," "library," "collection development," "user," and "collection" were the main keywords in frequency analysis and network centrality. Meanwhile, the pie coefficient analysis revealed that keywords such as "university," "construction," "student," "target," and "cost" were prevalent in university libraries, indicating that the academic needs of users and the discussion of digital resources were primary issues, while keywords related to the information needs of various user groups-including "adults," "survey," "feature," and "religion" -appeared in public libraries.

• Proceedings of the Korea Contents Association Conference
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• 2013.05a
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• pp.67-68
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• 2013

초대 이승만 대통령으로부터 제18대 박근혜 대통령 취임사를 네트워크 기반으로 분석하였다. 연합뉴스에서 제공하는 데이터베이스는 역대 대통령 취임사 단어구름으로 보여줌으로써 키워드를 파악할 수 있도록 하였다. 이 경우 특정 단어의 등장 횟수에 비례하여 중심 단어를 찾아주기 때문에 취임사 전체에 흐르는 문맥이나 대통령의 의중을 반영하지 못한다. 이러한 문제를 해결하기 위하여 본 연구에서 18개 대통령 취임사에 등장하는 키워드 네트워크를 구축하였다. 네트워크상에서 허브(hub)에 해당하는 단어를 연결하면 대통령의 의도나 통치 방향을 파악할 수 있다. 대한민국의 18개 대통령 취임사는 네트워크의 동적 변화를 분석할 수 있는 좋은 자료다. 초대 취임사 네트워크에 두 번째 취임사 네트워크를 추가하여 점진적으로 확장되는 네트워크를 구축하여 동적변화를 분석하였다. 네트워크 동적 분석 결과는 시대의 흐름에 따른 대통령 통치 방향과 변화가 담겨져 있기에 대한민국 현대사 흐름을 파악하는데 기여하는 것으로 나타났다. 이제 복잡계를 이해하는 방법의 하나인 네트워크에 관한 연구는 사회현상, 자연현상, 생명현상을 넘어서 대통령 취임사에 이르기까지 다양한 영역에 함축된 복잡한 현상을 이해하려는 시도에 방법론적 실마리를 제공하고 있다.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.34 no.4
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• pp.285-302
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• 2023

Based on this study, the research trends were identified for the field of public libraries in Korea by utilizing the keyword network analysis. For 20 years from 2003 to 2022, a total of 752 papers related to the public libraries published in the four largest academic journals in the field of library and information science in Korea were analyzed. The research results are as follows. First, from 2003 to 2022, an annual average of 37.6 papers were published, demonstrating a pattern of repeated rise and fall. Second, the keywords of 'service' and 'culture' were identified as the most discussed keywords as they were found to be among the top five in terms of the frequency of occurrence, connection centrality, and the mediation centrality analysis results. Third, in terms of the results of analyzing the co-occurrence frequency of keyword pairs, attention was paid to the keyword pairs of education-program, service-user, service-children, and service-disability.

• Journal of the Korean Society of Earth Science Education
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• v.13 no.3
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• pp.226-237
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• 2020

The purpose of the research is to analyze research trends related to climate change education by network analysis based on keywords extracted from the research title. For this purpose, 62 papers were selected from Korean Citation Index(KCI) journals published from 2011 to 2020 using such keywords as "climate change" and "climate change education" in the Research Information Sharing Service. The analysis procedure consisted of selection of analysis papers, keyword extraction and purification, and keyword network analysis and visualization. Textom, Ucinet 6.0, and NetDraw were used to analyze the frequency, degree centrality, and betweenness centrality. The results of the research showed that, first, Early 'Energy and Climate Change Education' had the highest frequency of papers examining climate change education. Second, the keywords/phrases that appeared most frequently in research on climate change education were "program" "energy," "analysis," "elementary school," "elementary school," "elementary school students," "development," and "impact." Third, the analysis of the centrality of betweenness centrality showed that the index of 'program', 'primary students' and 'primary schools' were the highest, and the largest group was 'development and effect of teaching and learning programs'. Based on these results, it was concluded that future research on climate change education needs to be examined in further detail and expanded into more specific areas.