• Journal of the Korean Society of Earth Science Education
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• v.11 no.2
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• pp.145-157
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• 2018

The purpose of this study is to analyze the research trends in domestic related to gifted counseling by utilizing Sementic analysis methods. For papers of gifted education in korea, KCI(Korea Citation Index) rated journals were selected 83 pieces published in journals were collected and the Sementic Network Analysis(SNA) way was utilizing for keyword frequency and Centrality Network Analysis throughout a variety of research articles using krkwic and Ucinet6.0. The results are as follows. first, the analysis appeared that the trends of paper keywords from highest frequency of appearance keyword in papers focused on four keywords: perfectionism, career, counseling, and the science gifted. second, Analysis of annual trends from 2001 to June 2018 showed that the top keywords were as follows: the gifted underachievers, the perfectionism, the gifted students of Science, and the science gifted students. the rising keywords were perfectionism, twice-exceptional students, and gifted parents, and the keywords of gifted students and general students showed a tendency to decrease. Consequently, gifted counseling research should be done from various perspectives.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.4
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• pp.51-71
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• 2022

Since the 1990s, the growth of the public library program field progressed rapidly at home and aborad as the proportion of programs increased as a major job for public libraries in response to social changes and user demands. However, it is difficult to find a study to grasp the overall research trend in the field of public library programs in Korea. Accordingly, intellectual structure analysis was performed based on keyword profiling to examine research trends in the domestic public library program field. In particular, keyword analysis, network analysis and cluster analysis, and period/year analysis were performed step by step based on the author keywords (uncontrolled keywords) of degree papers and academic journals retrieved from the RISS database. In addition, based on the results of this intellectual structure analysis, the research trends of public library programs were comprehensively reviewed and future research tasks were presented.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.155-162
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• 2022

In this paper, we examined the research trends and characteristics related to the metaverse in global journals published between 2000 and 2022 from the Web of Science database. The analysis included descriptive statistics, multidimensional scaling, keyword network analysis, and visualization. In addition, semantic network models were constructed, and centrality (betweenness and degree) analysis was performed using R and KH coder in two separate categories based on the trends and aspects of the publication: analysis period 1 (Jan 2000 to Dec 2020) and period 2 (Jan 2021 to Jun 2022). The results showed that the recent global research trends related to the metaverse could be quantitatively characterized using the semantic network analysis. Also, the results could be applied to suggest future research topics in the field of metaverse based on quantitative and empirical data.

• Industry Promotion Research
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• v.8 no.4
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• pp.139-146
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• 2023

The purpose of this study is to examine the research trends of overseas journals related to dream analysis over the five-year period between 2019 and 2023, and to draw implications for future domestic research directions related to dream analysis. For this purpose, 84 overseas journals searched on Google scholar from 2019 to 2023 were selected and analyzed for research trends, including publication year, journal by topic, theory of use, major research topics, and research methods. The results of the analysis showed that, first, the number of published studies increased from 2019 to 2021 and then decreased, and related studies were active in each country during the COVID-19 period. Second, there was a tendency to interpret the unconscious through dream analysis and apply it to various fields. Third, the trend of research methods was 53 studies using qualitative research, 24 studies using quantitative research, 5 mixed studies, and 2 meta-analyses. Finally, we discuss our findings and suggest further research in the field of dream analysis.

• Journal of the Korean Society for information Management
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• v.41 no.2
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• pp.47-69
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• 2024

Despite many changes occurring in the objects and methods of reading, the importance of reading as the most effective means of developing human intellectual ability is consistently emphasized. However, in Korea, reading tends to be perceived as a part of tedious and rigid education or learning activities rather than an act of giving pleasure and joy while accompanied by fun and interest. In addition, compared to the high interest and emphasis on reading, discussions on reading programs to systematically implement them are relatively insufficient, and it is difficult to find a study in Korea that grasp the overall research trend in the field of reading programs. Accordingly, in order to generally examine research trends in the field of domestic reading programs, an intellectual structure analysis method based on keyword profiling was applied. In particular, basic analysis, keyword analysis, research area analysis, and analysis by period and year were performed in stages based on the keywords of theses and academic journal articles in the domestic reading program field retrieved from the RISS database. In addition, future research tasks were presented by comprehensively reviewing the research trends of domestic reading programs identified as a result of this intellectual structure analysis.

• Journal of the Korea Fashion and Costume Design Association
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• v.13 no.4
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• pp.93-110
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• 2011

This study investigates the analysis on the acceptance of Foreign Fashion trends in Korean Fashion Collection by collections, years, season, and designers. The purpose of this study is Korean collection's degree to adopt and receive foreign collections, by comparative analysis of design features between Seoul and foreign collections. For such purpose, from 2006 S/S to 2011 F/W, 5185 pictures were collected from designer's photos of Seoul, Paris, Milan, NY, and London collections. The content analysis and statistical analysis using SPSS will be conducted for data analysis. The results of the research are as follows. First, regarding the design features, square-form silhouette, achromatic colors, and none pattern were presented as well. Second, there were significant differences in the design characteristics of each year. Particularly, in 2008, X-form silhouette, Yellow and Green color, and flower pattern were emphasized. Third, the design features by season were significant differences. In S/S season, square-form and X-form silhouette, achromatic colors of white and gray color, none pattern were evident while in F/W season, square-form Silhouette, achromatic colors of black and gray, and none pattern were emphasized. Fourth, the design features by designer are as follows. In terms of form, Seoul collection was influenced by Paris collection. In terms of colors, it was influenced by NY and London collections.

• Journal of Forest and Environmental Science
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• v.34 no.1
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• pp.46-49
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• 2018

This study aims to explore the knowledge structure of the leopard cat (Prionailurus bengalensis) research during the period of 1952-2017. Data was collected from Google Scholar and Research Information Service System (RISS), and a total of 482 author keywords from 125 papers from peer-reviewed scholarly journals were retrieved. Co-word analysis was applied to examine patterns and trends in the leopard cat research by measuring the association strengths of the author keywords along with the descriptive analysis of the keywords. The result shows that the most commonly used keywords in leopard cat research were Felidae, Iriomte cat, and camera trap except for its English and scientific name, and camera traps became a frequent keyword since 2005. Co-word analysis also reveals that leopard cat research has been actively conducted in Southeast Asia in conjugation with studying other carnivores using the camera traps. Through the understanding of the patterns and trends, the finding of this study could provide an opportunity for the exploration of neglected areas in the leopard cat research and conservation.

• Journal of Information Technology Applications and Management
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• v.19 no.4
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• pp.1-18
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• 2012

This paper identifies technology trends of national research and development (national R&D) by exploiting Korean national R&D patents, ranging from 2007 to 2010. In this paper, co-word analysis (CWA), which is a method to identify the relationship among technology terms by using their co-occurrences, is incorporated into network analysis to visualize the relationships among technology keywords of national R&D patents and calculate network indexes concerning inter-relationship diversity and strength of technology keywords. As a result, this research found that inter-relationship among technology keywords in national R&D are getting increasingly strengthening in an overall sense. In addition, the keyword inter-relationship diversity-strength map proposed in this paper revealed some significant technological keywords of national R&D : core technology keywords including "sensor", "film" and "fuel" and emerging keywords including "biosensor" and "thermoelectric". Because the proposed approach helps identify interdisciplinary trends of technology keywords from a massive volume of national R&D patents in a visual and quantitative way, we expect that the approach can be incorporated as a preliminary into the R&D planning process to assist R&D policy makers to understand technology convergence of national R&D and develop relevant R&D policies.

• Women's Health Nursing
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• v.29 no.2
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• pp.128-136
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• 2023

Purpose: Topic modeling is a text mining technique that extracts concepts from textual data and uncovers semantic structures and potential knowledge frameworks within context. This study aimed to identify major keywords and network structures for each major topic to discern research trends in women's health nursing published in the Korean Journal of Women Health Nursing (KJWHN) using text network analysis and topic modeling. Methods: The study targeted papers with English abstracts among 373 articles published in KJWHN from January 2011 to December 2021. Text network analysis and topic modeling were employed, and the analysis consisted of five steps: (1) data collection, (2) word extraction and refinement, (3) extraction of keywords and creation of networks, (4) network centrality analysis and key topic selection, and (5) topic modeling. Results: Six major keywords, each corresponding to a topic, were extracted through topic modeling analysis: "gynecologic neoplasms," "menopausal health," "health behavior," "infertility," "women's health in transition," and "nursing education for women." Conclusion: The latent topics from the target studies primarily focused on the health of women across all age groups. Research related to women's health is evolving with changing times and warrants further progress in the future. Future research on women's health nursing should explore various topics that reflect changes in social trends, and research methods should be diversified accordingly.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.spc
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• pp.1-8
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• 2023

To investigate the national science and technology policy direction in the field of construction machinery, an analysis was conducted on projects selected as national research and development (R&D) initiatives by the government. Assuming that the project titles contain key keywords, text mining was employed to substantiate this assumption. Project information data spanning nine years from 2014 to 2022 was collected through the National Science & Technology Information Service (NTIS). To observe changes over time, the years were divided into three-year sections. To analyze research trends efficiently, keywords were categorized into groups: 'equipment,' 'smart,' and 'eco-friendly.' Based on the collected data, keyword frequency analysis, N-gram analysis, and topic modeling were performed. The research findings indicate that domestic government R&D in the construction machinery field primarily focuses on smart-related research and development. Specifically, investments in monitoring systems and autonomous operation technologies are increasing. This study holds significance in analyzing objective research trends through the utilization of big data analysis techniques and is expected to contribute to future research and development planning, strategic formulation, and project management.