• Title/Summary/Keyword: citation trend

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Analysis of sustainable fashion research trends using topic modeling (토픽 모델링을 이용한 지속가능패션 연구 동향 분석)

  • Lee, Hana
    • The Research Journal of the Costume Culture
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    • v.29 no.4
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    • pp.538-553
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    • 2021
  • As interest in the sustainable fashion industry continues to increase along with climate issues, it is necessary to identify research trends in sustainable fashion and seek new development directions. Therefore, this study aims to analyze research trends on sustainable fashion. For this purpose, related papers were collected from the KCI (Korean Citation Index) and Scopus, and 340 articles were used for the study. The collected data went through data transformation, data preprocessing, topic modeling analysis, core topic derivation, and visualization through a Python algorithm. A total of eight topics were obtained from the comprehensive analysis: consumer clothing consumption behavior and environment, upcycle product development, product types by environmental approach, ESG business activities, materials and material development, process-based approach, lifestyle and consumer experience, and brand strategy. Topics were related to consumption, production, and education of sustainable fashion, respectively. KCI analysis results and Scopus analysis results derived eight topics but showed differences from the comprehensive analysis results. This study provides primary data for exploring various themes of sustainable fashion. It is significant in that the data were analyzed based on probability using a research method that excluded the subjective value of the researcher. It is recommended that follow-up studies be conducted to examine social trends.

Cancer Research Trends in Traditional Korean Medical Journals since 2000 - Topic Modeling Using Latent Dirichlet Allocation and Keyword Network Analysis (2000년 이후 국내 한의학 암 관련 연구 동향 분석 - Latent Dirichlet Allocation 기반 토픽 모델링 및 연관어 네트워크 분석)

  • Kyeore Bae
    • The Journal of Internal Korean Medicine
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    • v.43 no.6
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    • pp.1075-1088
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    • 2022
  • Objectives: The aim of this study is to analyze cancer research trends in traditional Korean medical journals indexed in the Korea Citation Index since 2000. Methods: Cancer research papers published in traditional Korean medical journals were searched in databases from inception to October 2022. The numbers of publications by journal and by year were descriptively assessed. After natural language processing, topic modeling (based on Latent Dirichlet allocation) and keyword network analysis were conducted. Results: This research trend analysis involved 1,265 papers. Six topics were identified by topic modeling: case reports on symptom management, literature reviews, experiments on apoptosis, herbal extract treatments of breast carcinoma cell lines, anti-proliferative effects of herbal extracts, and anti-tumor effects. Keyword network analysis found that the effects of herbal medicine were assessed in clinical and experimental studies, while acupuncture was mainly mentioned in clinical reports. Conclusions: Cancer research papers in traditional Korean medical journals have contributed to evidence-based medicine. Further experimental studies are needed to elucidate the effects of on different hallmarks of cancer. Rigorous clinical studies are needed to support clinical guidelines.

Research Trends on Emotional Labor in Korea using text mining (텍스트마이닝을 활용한 감정노동 연구 동향 분석)

  • Cho, Kyoung-Won;Han, Na-Young
    • Journal of Korea Society of Industrial Information Systems
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    • v.26 no.6
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    • pp.119-133
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    • 2021
  • Research has been conducted in many fields to identify research trends using text mining, but in the field of emotional labor, no research has been conducted using text mining to identify research trends. This study uses text mining to deeply analyze 1,465 papers at the Korea Citation Index (KCI) from 2004 to 2019 containing the subject word 'emotional labor' to understand the trend of emotional labor researches. Topics were extracted by LDA analysis, and IDM analysis was performed to confirm the proportion and similarity of the topics. Through these methods, an integrated analysis of topics was conducted considering the usefulness of topics with high similarity. The research topics are divided into 11 categories in descending order: stress of emotional labor (12.2%), emotional labor and social support (12.0%), customer service workers' emotional labor (10.9%), emotional labor and resilience (10.2%), emotional labor strategy (9.2%), call center counselor's emotional labor (9.1%), results of emotional labor (9.0%), emotional labor and job exhaustion (7.9%), emotional intelligence (7.1%), preliminary care service workers' emotional labor (6.6%), emotional labor and organizational culture (5.9%). Through topic modeling and trend analysis, the research trend of emotional labor and the academic progress are analyzed to present the direction of emotional labor research, and it is expected that a practical strategy for emotional labor can be established.

Bibliometric Analysis on Trends of Home Economics Research in China Using CiteSpace (CiteSpace를 통한 중국 가정학 연구 동향의 계량서지학적 분석)

  • Zheng, Yiyuan;Yu, Nan Sook
    • Journal of Korean Home Economics Education Association
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    • v.36 no.1
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    • pp.95-112
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    • 2024
  • This study analyzed the trends of home economics research in China by examining the distribution by period, keyword distribution, distribution of researchers, citation frequency, and distribution of research institutions. For this purpose, data collected from CNKI, spanning from 1984 to 2022, resulted in 149 articles selected for final analysis. The analysis conducted using CiteSpace for the bibliometric research method yielded the following results: Firstly, a significant amount of home economics research was conducted between 2018 and 2022, with a notable increase in research in 2015 and 2020. Secondly, the analysis of keyword distribution showed that research centered around home economics education, home economics philosophy, etc., was active, and various research areas formed clusters. Thirdly, the major contributors to China's home economics research were Li, Xiong, Xia, and Wu, who mainly conducted independent research. The research by Li (2006) had the highest citation frequency, and Jilin Agricultural University published the most research among the institutions. This study indicates that despite quantitative growth due to social changes, China's home economics research lacks diversity and consideration of research outcomes. Therefore, participation from scholars, practical application of the discipline, increased government support, and cooperation for future comprehensive and qualitative research are necessary.

Investigating Trends of Gifted Education in Domestic and Foreign Countries through Social Network Analysis from 2010 to 2015 (2010~2015년 사회네트워크분석(SNA) 방법 활용 국내외 영재교육 연구동향 분석)

  • Yoon, Jin A;Kim, Su Jin;Seo, Hae Ae
    • Journal of Gifted/Talented Education
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    • v.26 no.2
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    • pp.347-363
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    • 2016
  • The purpose of this study was to analyze the trends in domestic and international gifted education in the last six years (2010-2015) by utilizing social network analysis methods. For papers of gifted education in Korea, two KCI (Korea Citation Index) rated journals, the 'Gifted/Talented Education' (The Korean Society for the Gifted) and 'Gifted and Talented Education' (The Korean Society for the Gifted and Talented Education) were selected and 457 pieces published in two journals were collected. The papers of 347 published in SSCI rated journals, 'The Gifted Child Quarterly,' 'Journal for the Education of the Gifted,' and 'High Ability Studies' were selected. English keywords were extracted from 457 papers from Korean journals and 347 papers from foreign journals and the Social Network Analysis (SNA) way was utilized for keyword frequency and central network analyses. It was appeared that the trends of paper keywords from domestic and foreign countries showed common keywords, 'academically gifted', 'science gifted', and 'gifted' as center keyword frequency, and keywords, 'achievement', 'identification', 'intelligence' appeared as the most frequent ones. For domestic papers, keywords, 'creativity', 'gifted education', and 'gifted education teacher' were the highest frequent keywords while keywords, 'foreign countries', and 'student attitudes' were most frequent ones for the foreign countries. For the analysis of papers from five journals as one group, it was found that keywords, 'identification', 'intelligence', and 'achievement' were the most important common ones and keywords, 'cognitive', 'motivation', and 'self-concept' were appeared as important keywords. The trend of gifted education in Korea seems to be different from ones of foreign countries, domestic papers of gifted education rarely included keywords of 'foreign examples', 'student attitudes', and 'gender differences.' Consequently, the trend of gifted education in Korea called for various research perspectives.

A Meta Study on Research Trend of Digital Forensic in Korea (메타스터디를 통한 국내 디지털 포렌식 연구 동향)

  • Kwak, Na-Yeon;Lee, Choong C.;Maeng, Yun-Ho;Cho, Bang-Ho;Lee, Sang-Eun
    • Informatization Policy
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    • v.24 no.3
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    • pp.91-107
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    • 2017
  • Digital forensics is the process of uncovering and interpreting electronic data and materials found in digital device in relation to crime. The goal of the process is to preserve any evidence in its most original form which shall be having the force of law. The digital forensic market is increasing with a growth of ICT in domestic and global market. Many countries including U.S. are actively performing researched regarding a structured investigation by collecting, identifying and validating the digital information for the purpose of reconstructing past events which so does in academic society in Korea. This paper is to understand overall research trend about digital forensics and derive future strategy by integrating the result of meta-analysis into practices based on five criteria - main theme and topic, analysis phase, technical method for analysis, author's affiliation, and unit of analysis and method. 239 papers are analyzed, which were selected out of 470 papers published for 10 years (2007~2016) in academic journal on the list of KCI (Korea Citation index). The results of this analysis will be used to examine the characteristics of research in the field of digital forensics. The result of this research will contribute to understanding of the research trend and characteristics leading the technology-driven academia, through which measures for further research development and facilitation are suggested.

Evaluating Blockchain Research Trend using Bibliometrics-based Network Analysis (블록체인 분야의 학술연구 동향분석: 계량정보학적 네트워크분석을 중심으로)

  • Zhu, Yu-Peng;Park, Han-Woo
    • Journal of Digital Convergence
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    • v.17 no.6
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    • pp.219-227
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    • 2019
  • This study aims to examine Blockchain research trend using bibliometrics-based network analysis. The data were collected from WoS, Scopus, Korea Citation Index and National science & Technology Information Service, from 2009 to 2018. As results, the number of publications has started increasing rapidly from 2017 and it showed the initial stage of formation of coauthor network. Words often used in the title of the publications were related to application development, controversy and technology development. In addition, the majority of domestic papers are in the subject of social science, while international papers tend to focus on engineering issues. The results of the temporal analysis show that Korean researchers' block chain 3.0 started in 2017 and are rapidly increasing in 2018. The number of citations was associated with publication year in a statistically signifiant way. By examining these research trends, we hope that this paper can be a useful basis for the development of blockchain. Future research is expected to reveal more clearly the knowledge structure and characteristics of blockchain around the world.

Topic Modeling of Profit Adjustment Research Trend in Korean Accounting (텍스트 마이닝을 이용한 이익조정 연구동향 토픽모델링)

  • Kim, JiYeon;Na, HongSeok;Park, Kyung Hwan
    • Journal of Digital Convergence
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    • v.19 no.1
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    • pp.125-139
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    • 2021
  • This study identifies the trend of Korean accounting researches on profit adjustment. We analyzed the abstract of accounting research articles published in Korean Citation Index (KCI) by using text mining technique. Among papers whose themes were profit adjustment, topics were divided into 4 parts: (i) Auditing and audit reports, (ii) corporate taxes and debt ratios, (iii) general management strategy of companies, and (iv) financial statements and accounting principles. Unlike the prediction that financial statements and accounting principles would be the main topic, auditing was analyzed as the most studied area. We analyzed topic trends based on the number of papers by topic, and could figure out the impact of K-IFRS introduction on profit adjustment research. By using Big Data method, this study enabled the division of research themes that have not been available in the past studies. This study enables the policy makers and business managers to learn about additional considerations in addition to accounting principles related to profit adjustment.

The Literature Study of Research Trend of Alismatis Rhizoma and Relationship Between the Herbology and KCD (택사(澤瀉)의 국내·외 연구동향과 『본초학』, 한국표준질병사인분류의 상관관계에 대한 연구)

  • Jang, Il-Woong;Jeong, Jong-Kil;Kim, Hyun-Seok;Lee, Soong-In
    • The Korea Journal of Herbology
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    • v.31 no.2
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    • pp.47-62
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    • 2016
  • Objectives : This study was aimed to analyze the correlation between the Herbology and contemporary research results, KCD and terms of Alismatis Rhizoma. The study will present information that can be used to find the direction of further researches and be applied to the education of Herbology.Methods : Papers were searched in Riss4U and PubMed, and categorized. Medicine or pharmacy articles about Alismatis Rhizoma were matched with the Herbology treatment and KCD. KCD-codes and terms were arranged by the Herbology treatment. The Degree of Herbology research (HDR) was calculated by numbers of papers, study method, citation rates.Results : There were 392 articles about Alismatis Rhizoma. Among these there were 141 medicine and pharmacy articles about Alismatis Rhizoma, and 51 articles were matched to the Herbology treatment. Studies about Phlegm-Fluid Retention and Dizziness, Edema and Distention and Fullness was more active than others. Analysis of other articles showed that studies about anti-cancer, anti-biotic effect, anti-diabetes mellitus, anti-oxidant effect, anti-inflammation, hepatoprotective effect were active, too. In HDR, Phlegm-Fluid Retention and Dizziness was scored by 181, Edema- Distention and Fullness by 173, Hyperlipidemia by 83, Dysuria 64, Heat strangury pain by 18, Diarrhea and decreased urine volum by 0.Conclusions : 141 articles about Alismatis Rhizoma were analyzed and 51 articles were matched to the Herbology treatment. Studies about Phlegm-Fluid Retention and Dizziness, Edema and Distention and Fullness were more active than others. And studies about anti-cancer, anti-biotic effect, anti-oxidant effect, anti-inflammation, Osteoporosis should be more studied and be more discussed among Herbology researchers.

Systemic Review on The Research Trend of Gastrodiae Rhizoma and Relationship Between the Herbology and KCD-code (천마(天麻)의 국내,외 연구동향과 『본초학』, 한국표준질병사인분류의 상관관계에 대한 체계적 문헌고찰)

  • Kim, Hyun-Seok;Lee, Soong-In;Jeong, Jong-Kil
    • The Korea Journal of Herbology
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    • v.31 no.2
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    • pp.21-37
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    • 2016
  • Objectives : The study was aimed to analyze the correlation between Herbology and contemporary research results, KCD-codes and terms. The study will present information that can be used to find the direction of further researches and be applied to the education of Herbology.Methods : Papers were searched in OASIS and PubMed. Papers were then categorized as "medicine and pharmacy articles" or "articles unrelated to medicine and pharmacy." Medicine or pharmacy articles about Gastrodiae Rhizoma were matched with treatments in Herbology and KCD-codes. Medicine and pharmacy articles which did not research Gastrodiae Rhizoma mainly and articles unrelated to medicine and pharmacy were categorized and analyzed. KCD-codes and terms were arranged by treatments in Herbology. Research types, the number of papers, and the citation count were arranged by each treatment in Herbology. Degrees of Herbology research were represented as a table and a graph.Results : There were 148 Medicine and pharmacy articles about Gastrodiae Rhizoma, 76 medicine and pharmacy articles which did not studied Gastrodiae Rhizoma mainly, and 120 articles unrelated to medicine and pharmacy. Researches on Senility and hypertensive diseases were conducted to the degree of clinical research. Numbness of the limbs scored 617, Epilepsy and convulsions scored 257.Conclusions : The study suggests that there were 148 medicine and pharmacy articles about Gastrodiae Rhizoma. Epilepsy and convulsions were the most researched treatment in Herbology. Of the medicine and pharmacy articles tha t did not match treatments in Herbology, there were clinical research articles researching on senility which can be used in the Herbology education field.