Keyword Network Research Articles

2000~2023년 국내 음악치료 연구의 트렌드 분석: 키워드 의미 네트워크 접근

Objectives The purpose of this study is to select literature related to music therapy in South Korea published in KCI academic journals from 2000 to 2023, in order to examine trends in domestic music therapy research and to suggest future directions for music therapy research. Methods From August 2022 to January 2024, a total of 542 research articles were selected from major domestic academic journal sites. Among 705 types of refined 1,799 keywords identified, 100 keywords that appeared six or more times were extracted. Synonyms were represented with a consistent expression, and compound words were separated and standardized. The refined keywords were validated for appropriateness by three experts. The UCINET 6.0 program visualized the keyowrds with NetDraw. Results The overall keyword network, consisting of 100 nodes connected by 1,422 links, had a density of .144. The keywords ‘instrument playing,’ ‘sociality,’ ‘depression,’ and ‘anxiety’ showed high centrality in terms of degree, closeness, and betweenness, confirming them as the core keywords in domestic music therapy research. Conclusions By identifying the core keywords in domestic music therapy research, this study sheds light on past research trends and discusses the considerations for applying current research in clinical practice, as well as the direction and factors to consider for future research. This is the significance of this study.

텍스트 마이닝을 활용한 이주배경 구성원의 문화적응 스트레스의 연구동향 분석

This study aims to explore research trends in acculturation stress using text mining techniques. To achieve this, 387 papers related to acculturation stress, published in KCI-indexed journals over 16 years since the enactment of the Multicultural Families Support Act in 2008, were selected. Based on the Korean abstracts, a total of 1,762 keywords were extracted. NetMiner 4.5 was utilized to analyze unstructured data, employing keyword network analysis and LDA-based topic modeling. The study analyzed keyword frequency, co-occurrence keyword pairs, and centrality. Through LDA-based topic modeling, it was found that five topics were the most appropriate. Based on the derived results, the study reviewed research directions to advance the academic development of acculturation stress and provided educational implications.

키워드 네트워크 분석을 활용한 어린이집 권리존중보육에 관한 연구 동향

This study aims to examine research trends by using the frequency and research methods of research on respect for rights in daycare centers and keyword network analysis. To this end, 111 domestic research papers registered in KCI from 2011 to 2024 were selected through a keyword search related to respect for rights childcare and analyzed by period. As a result, first, 88 studies were published in the second period (2018-March 2024), and quantitative research was the most common research method. Second, the keyword network analysis results showed that the keywords ‘respect for rights of infants and toddlers’, ‘respect for rights of infants and toddlers’, and ‘early childhood teachers’ appeared frequently in all periods. The centrality analysis results showed that ‘respect for rights of infants and toddlers’, ‘respect for rights of infants and toddlers’, and ‘early childhood teachers’ appeared in the top keywords in all periods, and ‘early childhood rights’ was ranked high in the first period, and ‘teacher professionalism’ and ‘organizational health’ were ranked high in the second period. Through the results of this study, we identified research trends in childcare rights-respecting childcare in daycare centers and derived the need for expanding the diversity of related research. It is significant in that it suggests future directions for strengthening teacher professionalism for childcare rights-respecting childcare in childcare settings.

공교육에서 ‘에듀테크 활용 맞춤형 학습’의 의미와 실행방안 탐색

This study explores the meaning and implementation strategies of using EduTech for personalized instruction in the context of public education. Through an analysis of existing research and focus group interviews conducted in three sessions with elementary and middle school teachers and experts, open coding, nominalization, and categorization were applied to responses and interview transcripts. In addition, a keyword network analysis was conducted using UCINET. Results indicate that EduTech and differentiated instruction emerged as central concepts for personalized learning, with both high frequency and centrality. Although diversity appeared with lower frequency, it ranked as a top keyword in terms of centrality, highlighting the importance of considering student diversity and instructional diversification when designing personalized learning approaches using EduTech. The study suggests that differentiated instruction is a practical approach to using EduTech for personalized learning in public education. It also proposes an instructional diversification strategy that aims to reflect the characteristics and levels of learners, with the overall goal of effectively supporting all students.

Bibliometric Analysis in Family Business Brands

Theoretical background: Family businesses are a key aspect of the Polish economy. These are businesses that remain under the control of the family or are managed by family members, often passed down from generation to generation. Their importance in Poland is particularly visible in the context of the numerous small and medium enterprises that form the core of the Polish economy. These businesses often have a rich history and heritage that can provide a solid foundation for building a strong brand. Purpose of the article: The aim of this article is to present a bibliometric analysis in the area of family business brands. This analysis will provide a better understanding of the current literature base and detect areas for further research. Research methods: The research method used was a bibliometric analysis, including citation and co-occurrence analysis of keywords using the VOSviewer programme, of articles from the Scopus international database. 58 publications from 1999 to 2023, focusing on the topic of family business brands, were selected and analysed. In order to conduct the most precise analysis, research questions such as the following were formulated: Who are the most influential authors publishing in the research field (in terms of citations) and who publishes the most? or What is a keyword network? Main findings: An increase in the number of publications on family business brands has been noticed, especially since 2018. The highest number of publications appeared in 2023. In total, publications were cited 1,456 times, with the highest number of citations (384) in 2018. The average number of citations per year was 112. The most cited article is “Concealing or revealing the family?: Corporate brand identity strategies in family firms” by Micelotta and Raynard (2011), with 173 citations. The largest number of publications comes from the category “Business, Management, and Accounting”. The most influential authors in this field are Prügl and Botero. Research emphasises the importance of integrating family values into marketing strategies and building customer trust, which can be the basis for further research and practical applications in brand management of family firms.

Analysis of Research Trends in Elderly Housing Keyword Network Analysis

Analysis of Research Trends in Elderly Housing Keyword Network Analysis

Black Carbon in Climate Studies: A Bibliometric Analysis of Research Trends and Topics

Black carbon is a short-lived climate warming agent and serves as a crucial factor influencing the climate. Numerous models, observations, and laboratory studies have been conducted to quantify black carbon’s direct or indirect impacts on the climate. Here, we applied bibliometric analysis to identify research trends and key topics on black carbon in the climate field. Based on the Web of Science (WOS) Core Collection database, a total of 4903 documents spanning the period from 2000 to 2023 were retrieved and screened, focusing on the topic of black carbon in the climate field, resulting in the Black-Carbon Climate Local (BCL) dataset. Our study examines the influence and trends of major countries, institutions, and authors in this field. The results show that China and the United States hold leading positions in terms of the number of publications. Based on keyword networks, the BCL dataset is segmented into six distinct research directions, and representative keywords of each direction include biomass burning, radiative forcing, air pollution, aerosol optical depth, optical properties, and biochar. This study helps to identify the current research status and trends of black carbon in the climate, highlighting main research directions and emerging topics.

고등교육 질 관련 연구 동향 분석 및 키워드 네트워크 분석 연구

Objectives This study was conducted to explore and analyze research trends related to the quality of higher education in South Korea by utilizing content analysis and keyword network analysis methods. The target period for the analysis includes publications released between 2013 and March 2024. Methods To achieve this, relevant literature on the quality of higher education in South Korea was selected for analysis. Quantitative content analysis was employed to investigate research trends. Additionally, keywords were extracted from the literature, and analyses of keyword occurrence frequency, co-occurrence frequency, centrality, and community were performed to explore keyword network patterns related to higher education quality. Results The results of the analysis are as follows. First, content analysis revealed that research related to the quality of higher education has been generally increasing, influenced by government policies. The most frequently studied topic was found to be ‘performance management and institutional research’. Second, keyword analysis showed that keywords such as ‘learning outcomes’, ‘educational outcomes’, and ‘quality management’ had high frequency and centrality, indicating that related research has been focused on outputs and performance. Additionally, keywords like ‘learning experience’, ‘student engagement’, and ‘faculty-student interaction’ were found to be relatively highly associated with these core keywords. Conclusions The study concludes that research on the quality of higher education in South Korea is influenced by government policies and is primarily focused on outputs and performance. Therefore, there is a need for diverse policy support from the government to diversify and invigorate research topics related to the quality of higher education.

Assessing Carbon Dioxide Emissions in Manufacturing Industries: A Systematic Review

Emissions of pollutants and their consequences for the atmosphere have received special attention from international organizations in recent years due to the climate crisis predicted in the next decades. In this regard, the Carbon Dioxide (CO2) produced in industrial sectors is one of the most concerning compounds because of its impact on global warming and climate change. This study developed a systematic review of Carbon Dioxide Emissions from manufacturing industries considering one decade of research documents focused on addressing this problem. For this, different assessments such as the trend of published articles, top-cited studies, the network evaluation of journals, and keywords network evaluation were conducted. After a careful data-driven analysis, research trends were identified. Findings revealed the increased urgency of finding and assessing information regarding the climate crisis due to CO2 emissions as well as revealing which main sectors and research areas have been involved in its investigation. Furthermore, the most influential contributions and clusters of words obtained demonstrate interrelationships among research trends that are focused on finding new paths to generate more sustainable processes in every manufacturing industry. This study aims to generate valuable insights into the role played by manufacturing industries in the context of the environmental situation, revealing trends and key points among the scientific community.

대학 비교과 프로그램 특성에 따른 학생 학습경험 분석: 경북 소재 대학의 비교과 프로그램에 대한 분석을 중심으로

Objectives This study conducted keyword network analysis to examine student experiences based on the characteristics of extracurricular programs at universities. The aim is to understand how these programs impact students' learning experiences. Methods Keyword network analysis was used based on keywords extracted from various survey contents. The NodeXL program was used to visualize the main keywords and their relationships for each type of extracurricular program (mentoring, tutoring, experiential). Results In mentoring programs, keywords such as ‘feedback’, ‘support’, and ‘adaptation’ were central, indicating that students enhance their self-directed learning and communication skills. In tutoring programs, keywords like ‘exam preparation’, ‘study strategies’, and ‘grade improvement’ were prominent, showing that students focus on academic achievement. In experiential programs, keywords such as ‘practice’, ‘experience’, and ‘projects’ stood out, highlighting a focus on practical learning. Conclusions The keyword network analysis revealed that students' learning experiences vary according to the characteristics of the extracurricular programs. These findings provide important insights for universities to design and operate extracurricular programs that meet the diverse learning needs of students.

Navigating Global Research Trends on Seafoods-Related Foodborne Diseases: A Decadal Bibliometric Analysis

Ensuring seafood safety has become a critical area of focus due to its strong association with foodborne diseases. Despite the critical nature of this field, an in-depth understanding of global research trends in this field remains limited. Our study conducted an extensive bibliometric analysis to track the evolution and thematic focus of research on seafood safety from 2013 to 2023. Utilizing Scopus for publication and citation data, along with VOSviewer for visualizing keyword networks, this study highlights key developments and scholarly efforts aimed at mitigating risks associated with seafoods consumption. The analysis pinpoints the United States, China, the United Kingdom, France, South Korea and Malaysia as leading contributors. Their extensive research outputs and collaborations have markedly shaped the field's evolution. The overall positive trajectory in research volume experienced a minor setback in 2022, suggesting a complex and dynamic research landscape. "Food Control" is identified as a principal journal for the dissemination of research works, anchoring a dynamic co-citation network that fosters extensive international dialogue. We categorize seven principal research clusters: epidemiology, molecular detections, microbial resistance, bacteriophage applications, toxin detection methodologies, predictive modelling and biofilm studies. These clusters encompass the scopes and the breadth of current investigations. This decade-long review highlights the necessity for cohesive global research strategies to enhance the knowledge and control of foodborne pathogens in seafoods. This strategy is critical for improving food safety measures and safeguarding public health globally.

The convergence of IoT and sustainability in global supply chains: Patterns, trends, and future directions

This study investigates the pivotal role of Internet of Things (IoT) applications in advancing sustainable supply chains through a comprehensive analysis of research trends, international collaborations, and thematic evolution. Utilizing data from the Web of Science database, the research employs an innovative methodological framework combining keyword network analysis, country collaboration networks, and thematic mapping. The study reveals seven distinct keyword communities, highlighting the dominance of enabling technologies and the emergence of sector-specific applications. Analysis of international collaborations identifies five country clusters, each with unique research foci and collaborative patterns. The thematic map and evolution analysis uncover critical research gaps, including underexplored areas such as security in IoT-enabled supply chains and the integration of smart city concepts. The study projects future research directions, emphasizing the convergence of artificial intelligence and IoT, and the need for more holistic approaches to sustainability in supply chain management. The findings underscore the potential of IoT to foster sustainable business models that balance economic, social, and environmental benefits. This research contributes to the growing body of knowledge on IoT applications in sustainable supply chains by providing a multifaceted analysis of the field’s structure, evolution, and future trajectory. The insights offered are valuable for researchers, policymakers, and practitioners seeking to leverage IoT for creating more efficient, resilient, and sustainable supply chains in an increasingly globalized and environmentally conscious market.

Petanque research trends and developments in the last decade: a systematic review

This study analyzed petanque research and development trends in the last decade. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) research method was applied in this study. The identification of past research documents used the keyword “petanque,” and 14,829 documents were obtained from five journal databases (Scopus, Pubmed, Crossref, OpenAlex, and Google Scholar). There were 1,291 articles selected that fit the inclusion criteria to be analyzed in bibliometrics. Ten articles were selected for review based on the most citations and most relevant to the research topic. The research trend analysis shows a dynamic development and a significant increase. Visualization of bibliometric analysis shows a diverse keyword network but has not yet expanded into various fields. Based on the study results, petanque was developed as an achievement sport and socialized to the public to make it more attractive. Its correlation with sports injuries also needs to be developed because sports injuries are crucial in a sport. The literature review results presented discussions related to athlete performance from several aspects and organizational management. Developments in petanque sports research that move dynamically need to be extended from various aspects and fields to make it more complex and widespread. Keywords: technology integration, sport management, coaching methods, athlete performance

Comparative analysis of art therapy in education: China vs. foreign countries using CiteSpace

Comparative research on art therapy in education is limited, both in China and internationally. This study examines the potential of art therapy to transform art education, focusing on improving students' physical and mental health and aesthetic abilities, both in China and other countries. This study provides a comprehensive comparative analysis of art therapy in education within a visual context. Using bibliometric analysis of publications from the CNKI and WOS databases over the past 20 years, and the CiteSpace visualization tool, research hotspots and frontiers in art therapy within education were identified. Clustering research topics were explored, and the influence of art therapy on current art education was discussed. The study also predicts the future development trend of art therapy in both Chinese and international art education. Bibliometric analysis of CNKI and WOS databases, coupled with the CiteSpace visualization tool, facilitated the identification of key nodes in the keyword network, highlighting research hotspots and frontiers. The development of art therapy has shown an upward trend over the past two decades, particularly in the last ten years. Comparative analysis revealed ongoing progress of art therapy in both China and other countries, with untapped potential in China. Future trends indicate a complex upward trajectory, emphasizing the integration of localized art therapy methods and educational approaches. This comparative research paper explores art therapy in education, focusing on its potential to improve physical and mental health, as well as aesthetic abilities, in students from China and other countries. Using bibliometric analysis and the CiteSpace visualization tool, research hotspots and frontiers in art therapy within education were identified. The findings reveal a growing trend in art therapy over the past two decades, particularly in China. The study highlights untapped potential and predicts a complex upward trajectory, emphasizing the integration of localized art therapy methods and educational approaches. These insights contribute to the advancement of art education practices in China and internationally, underscoring the need for further exploration and integration of art therapy methods.

Comparative Analysis of Research Trends on the Independence Movement and China during the Provisional Government Period Using Keyword Network -Focusing on Academic Papers from CNKI and RISS-

Comparative Analysis of Research Trends on the Independence Movement and China during the Provisional Government Period Using Keyword Network -Focusing on Academic Papers from CNKI and RISS-

글 없는 그림책 연구 동향 분석 : 키워드 네트워크 분석 및 토픽모델링을 중심으로

This study explores research trends in wordless picture books using text mining techniques. For this purpose, abstracts of 181 articles were collected, and then data preprocessing and analysis were performed. In the data analysis process, keyword network analysis and topic modeling analysis were performed. The keyword analysis showed that the most frequent word was ''young children'', followed by ''storytelling'' and ''wordless picture book activities''. The network analysis showed that the strength of the connections between ''wordless picture book activities → young children'' and ''using wordless picture books → young children'' was high. This suggests that in studies of wordless picture books, the use of picture book activities or wordless picture books is mainly targeted at young children. Topic modeling resulted in four themes: multicultural approach and visual literacy, playfulness and artistic development, integration of language and art, and methodology of integration and repetition. This study is significant in that it identifies major research themes in the field of wordless picture books and suggests future research directions.

학술지『교육과학연구』(1999~2023) 연구동향 분석: 키워드 네트워크 분석을 활용하여

This study aims to elucidate the research trends and knowledge structure of‘Journal of Education Science [JES]’through keyword network analysis and to derive directions and implications for Jeju education research. To achieve this, a total of 561 papers published in 1999 to 2023 were collected. The main research findings are as follows: First, the proportion of papers related to Jeju has been decreasing, with the majority of papers focusing on subject education and field education in relation to educational studies. Second, a detailed analysis of the field on educational studies showed that subject education accounted for 369 papers(65.8%), with science education, mathematics education, korean language education, and english education following in order of prevalence. Third, in the centrality analysis, the terms “learning,” “mathematics,” and “high school” ranked high in degree centrality, while “learning,” “science,” and “environment” ranked high in betweenness centrality. Based on these findings, the following implications were drawn. First, to further promote [JES], it is necessary to recruit editorial board members from across the country and provide support for various academic activities. Additionally, conditions must be established to diversify research topics and promote interdisciplinary and cross-disciplinary convergence. Finally, there is a need for studies that address the unique status of the Special Autonomous Province and prepare for future education of the Fourth Industrial Revolution. Support measures should also be put to encourage research related to the keyword “teacher.”

2017-2024 China Learner Portrait Research Status and Hot Spot Analysis -- Citespace visualization study based on CNKI

Based on the CNKI database, the article combed the research on learner portrait between June 2017 and June 2024, and analyzed the number of articles, the cooperation network of scholars, keywords, and other related contents to summarize the current situation and hot spots of the research on learner portrait in China. The results show that the hot topics of research mainly focus on Student Portrait , Learner Portrait , User Portrait , Big Data , Learning Analysis and so on, show much research innovation and integration. The related research involves a variety of fields, such as educational technology, pedagogy, computer information technology, and so on. From June 2017 to June 2024, the research hot spots gradually expanded from the application of data technology to the field of education, reflecting the trend of the integration of education and technology. The hot spots gradually shifted from applying technologies such as user portrait technology and big data to the specific application and development of the education field such as learning portrait, comprehensive quality education, smart campus, digital portrait, precise ideology, and teaching intervention. The research results provide important theoretical and practical guidance for education information technology and smart education.

Trends in the research of sustainable tourism living labs: a bibliometric analysis

The primary goal of the study is to examine trends in the research of applying the living lab (LL) approach in the studies relating to sustainable tourism development. In this paper, 796 scientific papers published between 2001 and 2022 were chosen from the Les.org aggregative database and analyzed using bibliographic parameters. For data analysis, the tools of Lens.org, VOSviewer, and Harzing’s Publish or Perish software have been used. We sorted out the data by authors, journals, authors' institutions, countries, and cited ranks. We also looked at the network of keywords and terms from abstracts and structured them into groups to find out how research is organized in this field. LLs as methodology for co-creation user-centered open innovations in the real environment demonstrated a positive impact for sustainable development. Although still not widely utilized its potential in tourism sustainable development.

Global research on sufentanil use in anesthesiology from 2003 to 2023: a bibliometric analysis.

The application of sufentanil of anesthesiology has become a popular research area. However, literature-based bibliometric analyses on sufentanil are limited. Therefore, this study aimed to review the application of sufentanil in anesthesiology, and evaluate the research status and trends in this field. We searched the SCI-Expanded, SSCI, and CPCI-S databases from the Web of Science core collection as data sources for articles published from 1 January2003, to 31 December2023, and bibliometric and VOSviewer software were used to visualize and analyze the literature in terms of authors, journals, countries, institutions, and their collaborative networks, as well as keyword networks. Our analysis included 1,473 relevant publications on the application of sufentanil in anesthesiology. The overall number of publications is on the rise; the top three countries of study were China, the US and France; the top three universities that published relevant articles were Anhui Medical University, Capital Medical University and Zhejiang University; the largest number of publications focused on Anesthesia and analgesia; At present, the studies in this field mainly focus on the application scope, mode, and advantages; adverse reactions; and combined effects of sufentanil in combination with other drugs. The adverse factors for the use of sufentanil in anesthesiology and ways to improve its safety and efficacy are hot topics of research. Future research should explore the applicability of population and dose utilization, novel drug combinations, non-opioid adjuncts, and technological innovations. An increasing number of publications indicates that researchers are showing interest in the field of sufentanil use in anesthesiology, and ongoing research is at a relatively mature level. While the international community has established a strong foundation for cooperation, the cooperation among researchers, institutions, and countries needs to be enhanced. Simultaneously, efforts must be made to explore and strengthen personnel cooperation, expand the coverage of funding support, and improve the quality of the literature.