• Title/Summary/Keyword: Analysis of the Research Trends

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Research Trends on S.Freud Dream Analysis -Focused on Domestic Academic Journals- (S.Freud 꿈분석에 관한 연구동향 -국내학술지 중심-)

  • Hye-Jin Kwon;Dong-Yeol Shin
    • Industry Promotion Research
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    • v.8 no.4
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    • pp.251-256
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    • 2023
  • The purpose of this study is to find out how much research has been done on dream analysis based on S.Freud's psychoanalytic theory, and to suggest the necessity of dream research and follow-up research on dream research. The research method was based on analysis of domestic academic journals from 2019 to 2023, a study on S.Freud's dream analysis. Among them, the data were collected and organized through a keyword classification process from the Research Information Service (RISS) and the Korean Journal Citation Index (KCI). The classification categories were psychoanalysis, domestic academic journals, dream analysis, dream interpretation, dream analysis research trends, and dream research trends. In particular, psychoanalysis, dream analysis, domestic academic journals, and research trends were searched. The conclusion was drawn as follows. First, studies on research trends on dream analysis in domestic academic journals did not occupy a large proportion. Second, the ratio of research trends centered on dream analysis keywords was also significantly low. Third, the use and frequency of dream analysis was low. Fourth, research on Korean testing tools based on dream analysis is needed.

Research Trends in Korean Journal of Acupuncture: Focus on Keywords Analysis (경락경혈학회지 연구동향 분석: 주요 키워드 분석을 중심으로)

  • Yoon, Da-Eun;Lee, In-Seon;Chae, Younbyoung
    • Korean Journal of Acupuncture
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    • v.39 no.1
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    • pp.3-7
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    • 2022
  • Objectives : The study's goal was to look at the research trends of articles published in the Korean Journal of Acupuncture. Methods : The Korean Journal of Acupuncture's website yielded a total of 882 articles. The VOSviewer application was used to visualize research trends from keywords. Results : A total of 87 keywords were found and visualized based on the average year of publication. The relevant characteristics and trends of basic acupuncture research published in Korean Journal of Acupuncture were determined by a network analysis based on the co-occurrences and publication year of keywords. Acupuncture, acupoint, herbal acupuncture, electroacupuncture, moxibustion, and meridian were the most frequently used keywords. Conclusions : This bibliometric study will give you a broad picture of research trends in Korean Journal of Acupuncture. These data may help to establish a timeline for the advancement of acupuncture basic research.

Analysis of Trends in Research on Parent-Child Relationship (부모-자녀 관련 국내학술지 논문의 연구 동향)

  • Moon, Hyuk Jun
    • Korean Journal of Child Studies
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    • v.29 no.2
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    • pp.15-31
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    • 2008
  • This analysis of trends in research on parent-child relationships published in Korean journals focused on child and family studies. Analysis was for research frequency, contents, and methodology. Results showed that 186 research articles on parent-child relationship were published between 2000 and 2006. The main content of research was the effects of parent-child relationships on child development. Most of the studies used methods categorized as quantitative data and cross-sectional surveys.

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Capturing research trends in structural health monitoring using bibliometric analysis

  • Yeom, Jaesun;Jeong, Seunghoo;Woo, Han-Gyun;Sim, Sung-Han
    • Smart Structures and Systems
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    • v.29 no.2
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    • pp.361-374
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    • 2022
  • As civil infrastructure has continued to age worldwide, its structural integrity has been threatened owing to material deteriorations and continual loadings from the external environment. Structural Health Monitoring (SHM) has emerged as a cost-efficient method for ensuring structural safety and durability. As SHM research has gradually addressed an increasing number of structure-related problems, it has become difficult to understand the changing research topic trends. Although previous review papers have analyzed research trends on specific SHM topics, these studies have faced challenges in providing (1) consistent insights regarding macroscopic SHM research trends, (2) empirical evidence for research topic changes in overall SHM fields, and (3) methodological validations for the insights. To overcome these challenges, this study proposes a framework tailored to capturing the trends of research topics in SHM through a bibliometric and network analysis. The framework is applied to track SHM research topics over 15 years by identifying both quantitative and relational changes in the author keywords provided from representative SHM journals. The results of this study confirm that overall SHM research has become diversified and multi-disciplinary. Especially, the rapidly growing research topics are tightly related to applying machine learning and computer vision techniques to solve SHM-related issues. In addition, the research topic network indicates that damage detection and vibration control have been both steadily and actively studied in SHM research.

Exploration of Hydrogen Research Trends through Social Network Analysis (연구 논문 네트워크 분석을 이용한 수소 연구 동향)

  • KIM, HYEA-KYEONG;CHOI, ILYOUNG
    • Journal of Hydrogen and New Energy
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    • v.33 no.4
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    • pp.318-329
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    • 2022
  • This study analyzed keyword networks and Author's Affiliation networks of hydrogen-related papers published in Korea Citation Index (KCI) journals from 2016 to 2020. The study investigated co-occurrence patterns of institutions over time to examine collaboration trends of hydrogen scholars. The study also conducted frequency analysis of keyword networks to identify key topics and visualized keyword networks to explore topic trends. The result showed Collaborative research between institutions has not yet been extensively expanded. However, collaboration trends were much more pronounced with local universities. Keyword network analysis exhibited continuing diversification of topics in hydrogen research of Korea. In addition centrality analysis found hydrogen research mostly deals with multi-disciplinary and complex aspects like hydrogen production, transportation, and public policy.

Research trends in dental hygiene based on topic modeling and semantic network analysis

  • Yun-Jeong Kim;Jae-Hee Roh
    • Journal of Korean society of Dental Hygiene
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    • v.22 no.6
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    • pp.495-502
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    • 2022
  • Objectives: The purpose of this study was to analyze research trends in dental hygiene using topic modeling and semantic network analysis. Methods: A total of 261 published studies were collected 686 key words from the Research Information Sharing Service (RISS) by 2019-2021. Topic modeling and semantic network analysis were performed using Textom. Results: The most frequently and frequency-inverse document frequently key words were 'dental hygienist', 'oral health', 'elderly', 'periodontal disease', 'dental hygiene'. N-gram of key words show that 'dental hygienist-emotional labor', 'dental hygienist-elderly', 'dental hygienist-job performance', 'oral health-quality of life', 'oral health-periodontal disease' etc. were frequently. Key words with high degree centrality were 'dental hygienist (0.317)', 'oral health (0.239)', 'elderly (0.127)', 'job satisfaction (0.057)', 'dental care (0.049)'. Extracted topics were 5 by topic modeling. Conclusions: Results from the current study could be available to know research trends in dental hygiene and it is necessary to improve more detailed and qualitative analysis in follow-up study.

Research Trend Analysis for Smart Grids Using Dynamic Topic Modeling (동적 토픽분석을 활용한 스마트그리드 연구동향 분석)

  • Na, Sang-Tae;Ahn, Joo-Eon;Jung, Min-Ho;Kim, Ja-Hee
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.4
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    • pp.613-620
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    • 2017
  • The power grid has been changed to a smart grid system to satisfy the growing need for power grid complexity, demand, reliability, security, and efficiency with a combination of existing power and ICT technology. This study analyzes the research trends in smart grid technology in the period since the introduction of the smart grid system and compares it with industrial trends to grasp the progress and characteristics of Smart Grid technology and look for ways to innovate the technology. To do this, we analyze the research trends using dynamic topic modeling, which is capable of time-series research topic analysis. Next, we compare the results of research trends with industrial trends analyzed by Gartner's experts to demonstrate that smart grid research is evolving to the level of industrialization. The results of this study are quantitative analysis through data mining, and it is expected that it will be used in many fields such as companies that want to participate in industry and government agencies that need to establish policies by showing more objective analysis results.

An Analysis of Research Trends in Domestic Articles on Preschooler Peer Relationships(1995-2009) : Focusing on Research Methods (유아 또래관계 관련 국내 학술지 논문의 연구동향 분석 : 연구방법을 중심으로(1995년~2009년))

  • Kim, Youn-Hee
    • Korean Journal of Child Studies
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    • v.31 no.5
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    • pp.131-149
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    • 2010
  • The purpose of this study was to examine research trends in articles of preschooler peer relationships carried in domestic academic journals. This was done in an attempt to suggest alternative directions for peer relationship studies in the early childhood education sector and lay the foundation for future studies. 131 articles that appeared in seven domestic academic journals related to early childhood education were selected and analyzed in order to better understand the general trends in the filed and the specific trends in terms of their content and methods. Our results indicate that the observation method was most common in the quantitative studies, and participant observation was most prevailent among qualitative studies. As for instrumentation, international instruments were most widely utilized, and the most dominant analysis method was descriptive statistics. In terms of reliability, internal consistency was checked most often, however, the majority of the studies failed to provide any information on validity and post-hoc analysis.

Research Trends on PBM (Performance-based Management) in Korea

  • Ho Taek KIM;Jin Won KIM;Hyun Sung PARK
    • Journal of Research and Publication Ethics
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    • v.5 no.2
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    • pp.1-6
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    • 2024
  • Purpose: PBM is emerging as a major management system for securing corporate productivity and enhancing competitiveness, and various studies are being conducted. The purpose of this study is to analyze research trends published in KCI-listed journals and papers since 1999 to understand the current status of research and provide basic data for more extensive research and development of performance management in the future. Research design, data and methodology: A detailed examination of research trends was conducted through the analysis of abstracts from 154 research papers on PBM. To facilitate a comprehensive analysis of these trends, LDA topic modelling was employed. Results: First, it should be noted that research on PBM is not limited to the area of HRM. Instead, PBM research is expanding to encompass comprehensive personnel systems. Second, the results of topic modeling analysis show that although the initial focus of research was on human resource management, there is now a growing interest in fairness and organizational culture in the entire organization. Conclusions: PBM is becoming a dominant paradigm as it shifts from HR systems to organizational fairness and culture. This suggests that future research should consider both quantitative and qualitative aspects of PBM to improve corporate performance while prioritizing organizational fairness and culture.

A Study on Global Value Chains(GVCs) Research Trends Based on Keyword Network Analysis (키워드 네트워크 분석을 활용한 글로벌가치사슬(GVCs) 연구동향 분석)

  • Hyun-Yong Park;Young-Jun Choi;Li Jia-En
    • Korea Trade Review
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    • v.45 no.5
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    • pp.239-260
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    • 2020
  • This research was conducted on 176 GVCs-related research papers listed in the Index of Korean Academic Writers. The analysis methodology used the keyword network analysis methodology of big data analysis. For the comprehensive analysis of research trends, the research trends through word frequency (TF), important topic (TF-IDF), and topical modeling were analyzed in 176 papers. In addition, the research period of GVCs was divided into the early stages of the first study (2003-2014), the second phase of the study (2015-2017), and the third phase of the study (2018-2020). According to the comprehensive analysis, the GVCs research was conducted with the keyword 'value added' as the center, focusing on the keywords of export (trade), Korea, business, influence, and production. Major research topics were 'supporting corporate cooperation and capacity building' and 'comparative advantage with added value of overseas direct investment'. According to the analysis of major period-specific research trends, GVCs were studied in the early stages of the first phase of the study with global value chain trends and corporate production strategies. In the second research propulsion period, research was done in terms of trade value added. In the recent third phase of the study, small and medium-sized enterprises actively participated in the global value chain and actively researched ways to support the government. Through this study, the importance of the global value chain has been confirmed quantitatively and qualitatively, and it is recognized as an important factor to be considered in the strategy of enhancing industrial competitiveness and entering overseas markets. In particular, small and medium-sized companies' participation in the global value chain and support measures are being presented as important research topics in the future.