• Journal of Preventive Medicine and Public Health
• /
• 제41권6호
• /
• pp.365-372
• /
• 2008

Objectives : There are very few researches on North Korea's academic activities. Furthermore, it is doubtful that the available data are reliable. This study investigated research activities and knowledge structure in the field of Preventive Medicine in North Korea with a network analysis using co-authors and keywords. Methods : The data was composed of the North Korean Journal of preventive medicine ranged from Vol. 1 of 1997 to Vol. 4 of 2006. It was the matrix of 1,172 articles by 1,567 co-authors. We applied R procedure for keywords abstraction, and then sought for the outcome of network forms by spring-KK and shrinking network. Results : To comprehend the whole networks explicitly demonstrated that the academic activities in North Korea s preventive medicine were predisposed to centralization as similar as South Korea's, but on the other aspect they were prone to one-off intermittent segmentation. The principal co-author networks were formulated around some outstanding medical universities seemingly in addition to possible intervention by major researchers. The knowledge structure of network was based on experimentation judging from keywords such as drug, immunity, virus detection, infection, bacteria, anti-inflammation, etc. Conclusions : Though North Korea is a socialist regime, there were network of academic activities, which were deemed the existence of inducive mechanism affordable for free research. Article keywords has laid greater emphasis on experiment-based bacterial defection, sustainable immune system and prevention of infection. The kind of trend was a consistent characteristic in preventive medicine of North Korea haying close correlation with Koryo medical science.

• 경영과학
• /
• 제23권3호
• /
• pp.77-93
• /
• 2006

In the highly competitive world, there has been a concomitant increase in the need for the research and planning methodology, which can perform an advanced assessment of technological opportunities and an early Perception of threats and possibilities of the emerging technology according to the nation's economic and social status. This research is aiming to provide indicators and visualization methods to measure the latest research trend and aspect underlying scientific and technological documents to researchers and policy planners using 'Co-word Analysis' Organic light emitting diodes(OLED) is an emerging technology in various fields of display and which has a highly prospective market value. In this paper, we presented an analysis on OLED. Co-word analysis was employed to reveal patterns and trends in the OLED fields by measuring the association strength of terms representatives of relevant publications or other texts produced in the OLED field. Data were collected from SCI and the critical keywords could De extracted from the author keywords. These extracted keywords were further standardized. In order to trace the dynamic changes in the OLED field, we presented a variety of technology mapping. The results showed that the OLED field has some established research theme and also rapidly transforms to embrace new themes.

• 컴퓨터교육학회논문지
• /
• 제6권2호
• /
• pp.23-31
• /
• 2003

인간은 문서를 읽고 그 내용을 머릿속에서 개념적으로 정리하여 적은 수의 복합단어를 이용하여 문서를 대표하는 적당한 키워드로 정리한다. 본 논문은 이러한 점에 착안하여 문서를 대표하는 키워드를 추출하는 방법을 제안한다. 학술논문을 실험 예로 사용하여 저자가 자신의 문서에 부여한 키워드가 문서의 본문 중에 출현하지 않는 경우에도 동작하도록 출현단어의 개념정보를 기초로 복합어 생성규칙을 구축한다. 문서의미와 상관없는 키워드의 추출을 억제하기 위해 중요도 결정법을 새로 제안한다. 추출된 키워드의 타당성 여부는 자연언어와 음성언어에 관한 논문의 제목과 요약을 수집하여 실험하였다. 또한 저자가 부여한 키워드와 본 시스템이 출력한 키워드를 비교 한 결과, 상위 한 개의 정확율이 96%가 되어 제안방법의 유용성을 확인하였다.

• 한국직업건강간호학회지
• /
• 제24권2호
• /
• pp.76-85
• /
• 2015

Purpose: The purpose of this study was to identify knowledge structure of the Korean Journal of Occupational Health Nursing from 1991 to 2014. Methods: 400 articles between 1991 and 2014 were collected. 1,369 keywords as noun phrases were extracted from articles and standardized for analysis. Co-occurrence matrix was generated via a cosine similarity measure, then the network was analyzed and visualized using PFNet. Also NodeXL was applied to visualize intellectual interchanges among keywords. Results: According to the results of the content analysis and the cluster analysis of author keywords from the Korean Journal of Occupational Health Nursing articles, 7 most important research topics of the journal were 'Workers & Work-related Health Problem', 'Recognition & Preventive Health Behaviors', 'Health Promotion & Quality of Life', 'Occupational Health Nursing & Management', 'Clinical Nursing Environment', 'Caregivers and Social Support', and 'Job Satisfaction, Stress & Performance'. Newly emerging topics for 4-year period units were observed as research trends. Conclusion: Through this study, the knowledge structure of the Korean Journal of Occupational Health Nursing was identified. The network analysis of this study will be useful for identifying the knowledge structure as well as finding general view and current research trends. Furthermore, The results of this study could be utilized to seek the research direction in the Korean Journal of Occupational Health Nursing.

• 대한예방한의학회지
• /
• 제25권2호
• /
• pp.33-43
• /
• 2021

Objectives : This study seeks to grasp the current status of Koryo medical research in North Korea, by focusing on researchers and research topics. Methods : A network analysis of co-authors and keyword which were extracted from Koryo Medicine - a North Korean traditional medicine journal, was conducted. Results : The results of author network analysis was a sparse network due to the low correlation between authors. The domain-wide network density of co-authors was 0.001, with a diameter of 14, average distance between nodes 4.029, and average binding coefficient 0.029. The results of the keyword network analysis showed the keyword "traditional medicine" had the strongest correlation weight of 228. Other keywords with high correlation weight was common acupuncture (84) and intradermal acupuncture(80). Conclusions : Although the co-authors of the Koryo Medicine did not have a high correlation with each other, they were able to identify key researchers considered important for each major sub-network. In addition, the keywords of the Koryo Medicine journals had a very high linkage to herbal medicines.

• 정보관리학회지
• /
• 제17권3호
• /
• pp.109-124
• /
• 2000

본 연구에서는 국내 의학학술논문의 저자가 선정한 주제용어 (저자용어)와 동일한 논문에 대하여 NLM이 MEDLINE 레코드에 부여한 MeSH 용어를 비교하여, 국내 의학학술논문 저자들이 얼마나 정확히 MeSH 용어를 사용하는지 일치도를 측정하였고, 사용방법상 어떠한 특징을 보이는지, 일치하지 않는 이유가 무엇인지 분석하였다. 1989년부터 1998년까지 Korean Journal of Parasitology에 발표된 415편의 논문에 사용된 1,826개의 저자용어 가운데 MEDLINE 레코드의 MeSH 용어와 일치한다고 볼 수 있는 용어는 35.5%이고, 이 가운데 완전히 일치하는 용어는 10.1%밖에 되지 않았다. 한 논문에서는 평균 1.6개의 용어가 일치하였다. 한국저자들은 평균 4.4.개의 키워드를 한 논문에 부여한 반면, MEDLINE은 2배가 넘는 9.9개를 부여하고 있다. 한국저자들은 체크태그나 부표목을 사용하지 않는 등 MeSH 용어를 정확히 사용하기 위한 기본지식이 절대적으로 부족한 것을 나타났다.

• 한국정보과학회:학술대회논문집
• /
• 한국정보과학회 2010년도 한국컴퓨터종합학술대회논문집 Vol.37 No.1(C)
• /
• pp.385-389
• /
• 2010

논문에 부여되는 저자 주제어(author keyword)는 논문을 분류 및 검색하는데 활용될 수 있다. 이렇게 주제어를 부여할 때 자동으로 저자 주제어를 추천한다면 사용자에게 편리성을 제공하고 저자가 직접 부여한 저자 주제어 이외에 추가적으로 주제어가 있는지도 확인할 수 있어 유용하다. 본 연구에서는 논문에 달려있는 다수의 주제어 중 하나의 주제어를 선별하여 Labeled LDA를 이용해 주제어와 초록(abstract)의 관계를 학습했다. 이후 초록이 주어지면 자동으로 저자 주제어를 부여할 수 있도록 추천하는 기법을 제안하고 그에 따른 실험을 진행했다. 본 논문에서는 실험을 통하여 기계학습을 이용한 저자 주제어의 추천이 어느 정도의 성능을 보이는지 평가하고 향후 연구의 방향을 제시한다.

• 대한한방부인과학회지
• /
• 제32권4호
• /
• pp.87-101
• /
• 2019

Objectives: The purpose of this study is to investigate the effect of herbal medicine during the Western medicine therapy in adenomyosis. Methods: The author searched 5 electronic databases and search keywords were 'Adenomyosis' and 'Herbal Medicine'. We included randomized controlled clinical trials (RCTs) using herbal medicine therapy combined Western medicine for adenomyosis patients. Results: The author selected 12 studies. The systematic review of the 12 trials indicated that herbal medicine therapy integrated Western medicine therapy was more effective than Western medicine therapy alone. Conclusions: The herbal medicine therapy combined Western medicine for adenomyosis patients seems to improve pain relief and improvement of illness from this research. However, this result should be taken cautiously by unclear risk of bias. More clinical research will be needed to standardize the results of this study through herbal medicine.

• 동서간호학연구지
• /
• 제26권2호
• /
• pp.118-129
• /
• 2020

Purpose: The purpose of this study was to analyze the topic trend of domestic simulation nursing education research using text network analysis(TNA). Methods: This study was conducted in four steps. TNA was performed using the NetMiner (version 4.4.1) program. Firstly, 245 articles from 4 databases (RISS, KCI, KISS, DBpia) published from 2008 to 2018, were collected. Secondly, keyword-forms were unified and representative words were selected. Thirdly, co-occurrence matrices of keywords with a frequency of 2 or higher were generated. Finally, social network-related measures-indices of degree centrality and betweenness centrality-were obtained. The topic trend over time was visualized as a sociogram and presented. Results: 178 author keywords were extracted. Keywords with high degree centrality were "Nursing student", "Clinical competency", "Knowledge", "Critical thinking", "Communication", and "Problem-solving ability." Keywords with high betweenness centrality were "CPR", "Knowledge", "Attitude", "Self-efficacy", "Performance ability", and "Nurse." Over time, the topic trends on simulation nursing education have diversified. For example, topics such as "Neonatal nursing", "Obstetric nursing", "Pediatric nursing", "Blood transfusion", "Community visit nursing", and "Core basic nursing skill" appeared. The core-topics that emerged only recently (2017-2018) were "High-fidelity", "Heart arrest", "Clinical judgment", "Reflection", "Core basic nursing skill." Conclusion: Although simulation nursing education research has been increasing, it is necessary to continue studies on integrated simulation learning designs based on various nursing settings. Additionally, in simulation nursing education, research is required not only on learner-centered educational outcomes, but also factors that influence educational outcomes from the perspective of the instructors.

• 한국문헌정보학회지
• /
• 제57권3호
• /
• pp.351-379
• /
• 2023

본 연구는 국내외 메타버스 관련 연구의 동향을 파악하기 위해 한국학술지인용색인(KCI)과 Web of Science(WoS), 그리고 Web of Science - CPCI(Conference Proceeding Citation Index)에서 메타버스를 검색어로 입력하여 KCI에서 913편, WoS에서 232편, WoS-CPCI에서 277편의 논문을 수집하였고, 각각 2,644개, 885개, 787개의 저자 키워드를 추출하여 동시출현단어 분석을 수행하였다. 정량분석을 통해 메타버스 관련 연구가 최근 들어 양적으로 폭증하였고, 국내에서 는 학제간연구, 컴퓨터학, 교육학 등의 주제분야에서 주로 연구되고 있으며, WoS에서는 경영·경제 분야에서, WoS-CPCI 에서는 컴퓨터공학 분야에서 주로 연구되고 있음을 알 수 있었다. 키워드 네트워크 분석에서는 모든 데이터베이스에서 Virtual Reality, Augmented Reality 등 메타버스의 기술적 측면과 관련된 용어들의 전역중심성이 공통적으로 높게 나타났으며 군집분석을 통해 국내에서는 교육 관련 연구와 메타버스 플랫폼에 관한 키워드의 군집이 포함되고, WoS에서는 계량서지학적 분석과 관련된 키워드 군집이 생성되었으며, WoS-CPCI는 주로 메타버스의 기술적 측면에 대한 키워드 군집이 주로 나타났다.