• Title/Summary/Keyword: Keyword Trends

Search Result 449, Processing Time 0.023 seconds

A Comparative Bibliometric Analysis of Substance Use Disorder Research in Social Science, Natural Science and Technology, and Multidisciplinary Field (사회과학, 자연과학기술 및 융복합 분야의 약물중독 연구에 대한 계량서지학적 비교 분석 연구)

  • Nam, Dongin;Park, Ji-Hong
    • Journal of the Korean Society for information Management
    • /
    • v.39 no.2
    • /
    • pp.203-232
    • /
    • 2022
  • Drug addiction or substance use disorder is continuously observed worldwide for its risks and prevalence. In this context, numerous studies have been conducted regarding this issue. However, bibliometric analysis related to drug addiction is insufficient. In particular, it is difficult to find research that utilizes a macro-level bibliographic approach that comprehensively reflects various characteristics related to drug addiction. In this study, to reflect the multidimensional features of drug addiction, research trends in drug addiction in social science, natural science, and multidisciplinary studies were compared and analyzed. This study collected drug addiction research articles from 2002 to 2021 by searching from the Web of Science, and classified academic disciplines based on SCI(E) and SSCI information. Author keyword co-occurrence analysis was also conducted, which provided confirmation that natural science mainly studied psychoactive substances and the reward system in the brain, while drug addiction studies reflecting demographic characteristics were conducted in the domain of social science. In the multidisciplinary field, all of the above topics were covered. Author co-citation analysis was also employed, which showed that there are superstars (i.e., authors who receive a rigorous amount of citation) in the field of natural science, while in the social science domain, authors were highly cited not only at the individual level but also at the institutional level.

Keyword Analysis of Research on Consumption of Children and Adolescents Using Text Mining (텍스트마이닝을 활용한 아동, 청소년 대상 소비관련 연구 키워드 분석)

  • Jin, Hyun-Jeong
    • Journal of Korean Home Economics Education Association
    • /
    • v.33 no.4
    • /
    • pp.1-13
    • /
    • 2021
  • The purpose of this study is to identify trends and potential themes of research on consumption of children and adolescents for 20 years by analyzing keywords. The keywords of 869 studies on consumption of children and adolescents published in journals listed in Korean Citation Index were analyzed using text mining techniques. The most frequent keywords were found in the order of youth, youth consumers, consumer education, conspicuous consumption, consumption behavior, and character. As a result of analyzing the frequency of keywords by dividing into five-year periods, it was confirmed that the frequency of consumer education was significantly higher betwn 2006 and 2010. Research on ethical consumption has been active since 2011, and research has been conducted on various topics instead of without a prominent keyword during the most recent 5-year period. Looking at the keywords based on the TF-IDF, the keywords related to the environment and the Internet were the main keywords between 2001 and 2005. From 2006 to 2010, the TF-IDF values of media use, advertisement education, and Internet items were high. From 2011 to 2015, fair trade, green growth, green consumption, North Korean defector youths, social media, and from 2016 to 2020, text mining, sustainable development education, maker education, and the 2015 revised curriculum appeared as important themes. As a result of topic modeling, eight topics were derived: consumer education, mass media/peer culture, rational consumption, Hallyu/cultural industry, consumer competency, economic education, teaching and learning method, and eco-friendly/ethical consumption. As a result of network analysis, it was found that conspicuous consumption and consumer education are important topics in consumption research of children and adolescents.

Study of major issues and trends facing ports, using big data news: From 1991 to 2020 (뉴스 빅데이터를 활용한 항만이슈 변화연구 : 1991~2020)

  • Yoon, Hee-Young
    • Journal of Korea Port Economic Association
    • /
    • v.37 no.1
    • /
    • pp.159-178
    • /
    • 2021
  • This study analyzed issues and trends related to ports with 86,611 news articles for the 30 years from 1991 to 2020, using BIGKinds, a big data news analysis service. The analysis was based on keyword analysis, word cloud, relationship diagram analysis offered by BIG Kinds. Analysis results of issues and trends on ports for the last 30 years are summarized as follows. First, during Phase 1 (1991-2000), individual ports such as Busan, Incheon, and Gwangyang ports tried to strengthen their own competitiveness. During Phase 2 (2001-2010), efforts were made on gaining more professional and specialized port management abilities by establishing the Busan Port Authority in 2004, the Incheon Port Authority in 2005, and the Ulsan Port Authority in 2007. During Phase 3 (2011-2020), the promotion of future-oriented, eco-friendly, and smart ports was major issues. Efforts to reduce particulate matters and pollutants produced from ports were accelerated, and an attempt to build a smart port driven by port automation and digitalization was also intensified. Lastly, in 2020, when the maritime sector was severely hit by the unexpected shock of the COVID-19 pandemic, a microscopic analysis of trends and issues in 2019 and 2020 was made to look into the impact the pandemic on the maritime industry. It was found that shipping and port industries experienced more drastic changes than ever while trying to prepare for a post-pandemic era as well as promoting future-oriented ports. This study made policy suggestions by analyzing port-related news articles and trends, and it is expected that based on the findings of this research, further studies on enhancing the competitiveness of ports and devising a sustainable development strategy will follow through a comparative analysis of port issues of different countries, thereby making further progress toward academic research on ports.

A Bibliometric Analysis of Bee Venom Research over the Past 20 Years (최근 20년간 봉독 연구에 대한 계량서지학적 분석)

  • Moon, Heeyoung;Lee, In-Seon;Lee, Hyangsook;Chae, Younbyoung
    • Korean Journal of Acupuncture
    • /
    • v.37 no.2
    • /
    • pp.76-87
    • /
    • 2020
  • Objectives : Bee venom has been widely practiced in many countries around the world. The number of clinical trials and biochemical researches on bee venom has been constantly increasing. The objective of this study is to analyze the trend of research on bee venom using bibliometric approach, a quantitative analytical method. Methods : We searched articles about bee venom which were published from 2000 to 2019 from Web of Science Database. Original and review articles published in English were included and data were extracted in terms of publication year, country, journal, keywords, organizations, and authors. Trends in bee venom research were visualized using VOSviewer program. Results : 1,547 English articles about bee venom were identified and analyzed. South Korea is a main hub in the field of bee venom research. Research organizations in South Korea showed high link strength with domestic organizations as well as with international organizations. A keyword analysis showed the following three major types of studies: studies on components of bee venom, studies on allergy and immune response, and clinical research of bee venom therapy. Conclusions : This study provides a macroscopic overview of the research on bee venom. This bibliometric analysis has identified influential authors and organizations in the field on bee venom research and provides a useful guideline to researchers who are in search of contributory research topics.

A Study of Perception of Golfwear Using Big Data Analysis (빅데이터를 활용한 골프웨어에 관한 인식 연구)

  • Lee, Areum;Lee, Jin Hwa
    • Fashion & Textile Research Journal
    • /
    • v.20 no.5
    • /
    • pp.533-547
    • /
    • 2018
  • The objective of this study is to examine the perception of golfwear and related trends based on major keywords and associated words related to golfwear utilizing big data. For this study, the data was collected from blogs, Jisikin and Tips, news articles, and web $caf{\acute{e}}$ from two of the most commonly used search engines (Naver & Daum) containing the keywords, 'Golfwear' and 'Golf clothes'. For data collection, frequency and matrix data were extracted through Textom, from January 1, 2016 to December 31, 2017. From the matrix created by Textom, Degree centrality, Closeness centrality, Betweenness centrality, and Eigenvector centrality were calculated and analyzed by utilizing Netminer 4.0. As a result of analysis, it was found that the keyword 'brand' showed the highest rank in web visibility followed by 'woman', 'size', 'man', 'fashion', 'sports', 'price', 'store', 'discount', 'equipment' in the top 10 frequency rankings. For centrality calculations, only the top 30 keywords were included because the density was extremely high due to high frequency of the co-occurring keywords. The results of centrality calculations showed that the keywords on top of the rankings were similar to the frequency of the raw data. When the frequency was adjusted by subtracting 100 and 500 words, it showed different results as the low-ranking keywords such as J. Lindberg in the frequency analysis ranked high along with changes in the rankings of all centrality calculations. Such findings of this study will provide basis for marketing strategies and ways to increase awareness and web visibility for Golfwear brands.

Systematic Review on the Study of the Childhood and Adolescent Obesity in Korea: dietary risk factors (국내 보고된 우리나라 소아·청소년비만 연구동향 체계적 문헌고찰 : 식생활 위험요인을 중심으로)

  • Heo, Eun Jeong;Shim, Jae Eun;Yoon, Eun Young
    • Korean Journal of Community Nutrition
    • /
    • v.22 no.3
    • /
    • pp.191-206
    • /
    • 2017
  • Objectives: The present study systematically reviewed previous studies published in Korea regarding obesity status of children and adolescents in order to provide valid directions for future research and to help establish evidence-based prevention strategies. Methods: The articles were selected by searching the primary keyword 'obesity' and the secondary keywords 'children', 'young children', 'adolescents' or 'kids' on the KISS (Korean Studies Information Service System). Out of 503 articles excluding the overlap, 308 articles were selected with inclusion and exclusion criteria. Secular trends of obesity research, distribution of subjects, potential risk factors for obesity, and intervention method for obesity management were documented. The associations between obesity and dietary factors were summarized. Results: The overall number of research studies has increased since 2000 but obesity management studies have decreased in recent years. Most of the studies used a cross-sectional design. Research on preschool children were extremely limited. Intervention studies targeting males were prevalent. The most significant variables relevant to dietary habits were speed of eating, regular breakfast and snacking. The most significant food and nutrient intake factors were thiamin and iron. Intakes of cereals and animal foods were significantly higher in obese children than the counterparts. Conclusions: The present review of locally published articles on the obesity status in children and adolescents suggested the need for well-designed further studies focused on risk factors of obesity and on a range of intervention methods conducive to the development of obesity prevention and management programs.

Clinical Research Trends on Mindfulness Meditation in Korea (마음챙김 명상관련 국내 임상연구 동향 분석)

  • Yang, Yeong-Pil;Song, Ick-Soo;Moon, Jin-Seok;Han, Chang-Hyun;Park, Ji-Ha;Lee, Sang-Nam
    • Korean Journal of Oriental Medicine
    • /
    • v.16 no.2
    • /
    • pp.57-64
    • /
    • 2010
  • Background : Meditation is one of the healing therapies used to prevent and cure ailments and to improve health through regular practice. Although Meditation is within the paradigm of modern Western medical science, effects on the human body could be possible. Objectives : This study performed a systematic review of the literature published in Korea focused on mindfulness meditation (MM), which is being applied as mind-body therapy around the USA lately. Method : Three hundred sixty six articles were found after searching with keyword, 'mindfulness meditation (MM)' in 6 journals and web databases. Ninety papers related MM were analyzed trend, Seventeen randomized controlled trials (RCTs) and 38 controlled clinical trials (CCTs) were researched by systematic review. Result : Most of them were studies about relationship between MM and syndrome such as stress, depression, anxiety and MM was also applied to some disease like hypertension, temporomandibular joint disorder in some cases. In 55 studies, It was shown that MM has positive effects on various symptoms and sometimes the effect of MM showed at post and follow-up study although there was no significant difference between control group and experimental group in some cases according to outcome measurement. Interestingly, there was no study reported about side effects of MM after the application. Conclusions : MM is being clinically applied at both western and oriental hospital in Korea, but more clinical trials with the high quality are needed to support its scientific basis.

Research Trends of Pattern Identification of Korean Medicine Using the Network Analysis (네트워크 분석을 통한 국내 변증 연구의 동향)

  • Jin, Hee-Jeong;Lee, JaeChul;Jang, Eunsu
    • The Journal of the Korea Contents Association
    • /
    • v.14 no.12
    • /
    • pp.1037-1046
    • /
    • 2014
  • This study aims to analyze Korea's trend of 'pattern identification(PI)' research using network analysis. We selected 368 papers from OASIS (Oriental Medicine Advanced Searching Integrated System) by review of two Korean medicine experts. Network analysis between keyword of PI studies were performed. As a result, number of PI studies has increased over the last 10 years. 'Korean journal of oriental physiology and pathology' and 'Journal of Korean oriental internal medicine' have published most papers related to PI. As research category, there are 144 papers in the cross-sectional study, and 71 papers in case report study. In the case of randomized clinical trials, there are only 3 papers. In studies for PI, stroke, pattern analysis, and blood stasis were the keywords make up the main network.

Development Tendency of Altmetrics Research: Using Social Network Analysis and Co-word Analysis (소셜네트워크 분석과 Co-word 분석을 사용한 Altmetric 연구 개발동향)

  • Lee, Hyun-Chang;Li, Jiapei;Shin, Seong-Yoon
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.21 no.11
    • /
    • pp.2089-2094
    • /
    • 2017
  • Altmetrics is the measurement index and quantitative data to complement the traditional indicators based on the citation. Altmetrics research has acquired greater importance in the past few years, partly due to the complement to the traditional bibliometrics. This paper aims to reveal the research status and trends in altmetrics research. A total of 187 articles from 2005 to 2017 are obtained and analyzed, illustrating a steady rise (S-mode) in altmetrics research since 2005. Using social network analysis and co-word analysis, the author cooperation network and keyword co-occurrence network are developed. The core scientists and eight international research groups are discovered, reflecting that researchers in this field have a low degree of cooperation. Four topics of altmetrics research are discovered by hierarchical clustering. The results can be useful for the advanced research of altmetrics.

A Systematic Literature Review on Smart Factory Research: Identifying Research Trends in Korean Academia (스마트공장에 관한 체계적 문헌 분석: 국내 학술 경향 연구)

  • Kim, Gibum;Lee, Jungwoo
    • Journal of Digital Convergence
    • /
    • v.18 no.11
    • /
    • pp.59-71
    • /
    • 2020
  • The paper reports on a systematic literature review results concerning the smart factory research in Korea. 144 papers were identified from the articles published in Korean journals listed in the Korean citation index by keyword search related to smart factory. Bibliometric analyses were conducted by way of co-occurrence and network analysis using the VOSViewer. Automation, intelligence, and bigdata were identifed as three critical clusters of research while, operating systems, international policy and cases, concept analysis as other three clusters of research. Internet of Things turned out to be a key technology of smart factory linking all of these areas. Servitization studies were small in numbers but seemed to have a lot of potential. Security researches seemed to be lacking connections with other areas of studies. Results of this study can be used as a milestone for identifying future research issues in smart factories.