• 복식문화연구
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• 제27권3호
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• pp.193-205
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• 2019

A trend analysis of research articles in a field of knowledge is significant because it can help in finding out the structural characteristics of the field and the future direction of research through observing change in a time series. We identified the structural characteristics and trends in text data (keywords) gathered from research articles which in itself is an important task in various research areas. The titles and keywords were crawled from research articles published from 2016 to 2018 in the Research Journal of the Costume Culture (RJCC), one of the representative Korean journal in the field of clothing and textile. After we extracted data comprising English titles and keywords from 195 published articles, we transformed it into a 1-mode matrix. We used measures from network analysis (i.e., link, strength, and degree centrality) for evaluating meaningful patterns and trends in the research on clothing and textile. NodeXL was used for visualizing the semantic network. This study observed change in the clothing and textile research trend. In addition to covering the core areas of the field, the subjects of research have been diversifying with every passing year and have evolved onto a developmental direction. The most studied area in articles published by the RJCC was fashion retailing/consumer psychology while aesthetic/historic and fashion industry/policy studies were covered to a more limited extent. We observed that most of the studies reflecting the identity of RJCC share subject keywords to a significant extent.

• 패션비즈니스
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• 제23권3호
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• pp.85-100
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• 2019

This study examines changes in consumer perceptions of fashion shows, which are critical elements in the apparel industry and a means to represent a brand's image and originality. For this purpose, big data in clothing marketing, text mining, semantic network analysis techniques were applied. This study aims to verify the effectiveness and significance of fashion shows in an effort to give directions for their future utilization. The study was conducted in two major stages. First, data collection with the key word, "fashion shows," was conducted across websites, including Naver and Daum between 2015 and 2018. The data collection period was divided into the first- and second-half periods. Next, Textom 3.0 was utilized for data refinement, text mining, and word clouding. The Ucinet 6.0 and NetDraw, were used for semantic network analysis, degree centrality, CONCOR analysis and also visualization. The level of interest in "models" was found to be the highest among the perception factors related to fashion shows in both periods. In the first-half period, the consumer interests focused on detailed visual stimulants such as model and clothing while in the second-half period, perceptions changed as the value of designers and brands were increasingly recognized over time. The findings of this study can be utilized as a tool to evaluate fashion shows, the apparel industry sectors, and the marketing methods. Additionally, it can also be used as a theoretical framework for big data analysis and as a basis of strategies and research in industrial developments.

• 대한한방부인과학회지
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• 제35권4호
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• pp.121-142
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• 2022

Objectives: The purpose of this study is to review the acupuncture treatment Urinary incontinence (UI) and Overactive bladder (OAB) in postmenopausal women. Methods: We searched articles in 8 search engines with keywords related to 'Overactive bladder', 'Urinary incontinence' and 'Menopause' in July 2022. Randomized Controlled Trials (RCT) that used acupuncture on Urinary incontinence (UI) and Overactive bladder (OAB) after menopause were included. Animal studies and non RCT data were excluded. Data on acupuncture treatment such as methods, site, duration, frequency, and period were analyzed. Also, network analysis between acupoints was conducted. Results: 15 articles were selected and analyzed. Studies were conducted using manual acupuncture, electroacupuncture, pharmacopuncture and fire acupuncture. Most studies used more than one acupoint, and there were 32 acupoints selected for acupuncture treatment for UI and OAB after menopause. The most commonly used acupoint was 中極 (CV3) (n=8). In terms of the correlation of acupoints, 太谿 (KI3) had the highest value of degree centrality at 0.75. The mean treatment time, number of treatments, and duration were 26.42±6.10 minutes, 18.71±9.09 times, and 6.87±4.77 weeks. Conclusions: The results of this study could be useful in establishing the evidence for performing standardized acupuncture treatment for Urinary incontinence and Overactive bladder in postmenopausal women.

• 디자인융복합연구
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• 제17권6호
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• pp.127-143
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• 2018

여성들의 사회적 역할이 확대되고 지위가 상승하고 있으나 기존의 공간은 아직도 여성들의 주요 활동 공간이 제한된 범위에 머물러 있다는 인식 안에 있다. 본 연구는 여성과 공간에 대한 선행 연구 분석과 토론을 통해 기존의 여성 공간 연구를 검토하고 앞으로의 연구의 방향을 모색하고자 한다. 연구방법으로 선행 문헌을 키워드, 게재연도, 연구대상지, 연구목적, 연구방법, 학회지 분야의 유목별로 분류하여 분석하였다. 아울러, 초점집단면접(focus group interview)을 실시해 기존 공간의 문제점을 제시하고 새로운 연구의 방향을 모색하였다. 키워드의 네트워크 분석 결과, '여성전문병원', 'CPTED(crime prevention through environmental design', '여성친화도시', '여성성'이 연결 중심성이 높게 나타났다. 아울러 그동안의 여성 공간에 대한 연구는 절대적으로 부족한 실정이나, 최근 연구 공간의 범위가 다양해지고 있으며, '도시'적 관점에서 여성 공간에 접근하는 거시적이고 입체적 연구가 활발해지고 있다. 마지막으로 여성 공간에 대한 초점집단면접을 통해, 여성의 니즈에 대한 심층적 연구를 통한 '여성성'과 '출산·양육'을 고려한 공간 연구와 '양성 평등 공간' 및 '안전한 공간'에 대한 연구가 요구되었다.

• 한국문헌정보학회지
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• 제58권3호
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• pp.309-332
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• 2024

본 연구는 도서관과 인공지능(AI)에 관한 국내외 연구 동향을 분석하였다. 1995년부터 2024년까지 발표된 논문 중 도서관과 인공지능의 키워드를 함께 갖고 있는 논문을 대상으로 하였다. 국내는 KCI에 등록된 13편, 국외는 Web of Science(WOS)에 등록된 305편의 논문을 수집하였다. 수집된 논문의 초록과 키워드를 대상으로 하여 기간별로 키워드 출현 빈도를 파악하고 네트워크 분석을 수행하였다. 분석 결과 도서관의 인공지능과 관련된 연구는 빠르게 증가하고 있으며 다양화 및 세분화되고 있음을 알 수 있었다. 또한, 서비스 및 사용자 관련 연구가 초기에 이뤄졌다면, 점차 적용 대상 기술 및 자료 및 데이터 관련 연구 등으로 변화하고 있음을 확인하였다.

• 한국IT서비스학회지
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• 제13권1호
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• pp.181-196
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• 2014

Many studies have been studied in the Information Technology (IT) area such as Information Systems, Business, Industrial Engineering, Computer Science, Data Analytics and so on. Although various fields for IT exist, searching experts and reviewers in IT journals are subjective. The related journals have made efforts to assign experts for the qualified review. This study conducted developing the framework for understanding and evaluating the experts among co-authors and reviewers through social network analysis. To explore the findings, we collected data of the co-authored network and the reviewer network of the Korea Society of IT Services Journal. Totally, 545 authors for submissions and 314 co-authors were used for analyzing the co-authored network. To analyze the network, we divided two networks as a network for 545 papers and a network of 316 papers excluded 229 single authored-papers. In the findings, we found out various researchers published their papers with collaborations. Also, authors who have high scores of centrality can be said as experts for specific fields. In addition, we analyzed 358 data of reviewers from 2005 to 2011. About 50 reviewers have reviewed the submitted papers based on their expertise since 2005. Peculiarly, the expertise and the qualified review in Korea Society of IT Services Journal were identified in that almost reviewers do not review various papers at a time based on low degree measures and network density.

• 대한간호학회지
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• 제51권6호
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• pp.720-731
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• 2021

Purpose: The purpose of this study was to identify the knowledge structure of health information (HI) for chronic obstructive pulmonary disease (COPD). Methods: Keywords or meaningful morphemes from HI presented on five health-related websites (HRWs) of one national HI institute and four hospitals, as well as HI needs among patients presented in nine literature, were reviewed, refined, and analyzed using text network analysis and their co-occurrence matrix was generated. Two networks of 61 and 35 keywords, respectively, were analyzed for degree, closeness, and betweenness centrality, as well as betweenness community analysis. Results: The most common keywords pertaining to HI on HRWs were lung, inhaler, smoking, dyspnea, and infection, focusing COPD treatment. In contrast, HI needs among patients were lung, medication, support, symptom, and smoking cessation, expanding to disease management. Two common sub-topic groups in HI on HRWs were COPD overview and medication administration, whereas three common sub-topic groups in HI needs among patients in the literature were COPD overview, self-management, and emotional management. Conclusion: The knowledge structure of HI on HRWs is medically oriented, while patients need supportive information. Thus, the support system for self-management and emotional management on HRWs must be informed according to the structure of patients' needs for HI. Healthcare providers should consider presenting COPD patient-centered information on HRWs.

• Journal of the Korean Data and Information Science Society
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• 제23권4호
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• pp.693-701
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• 2012

각 대학마다 복수전공에 대한 선택의 폭이 넓어짐에 따라 학과별 복수전공자의 유입과 유출에 심한 편중현상이 나타나고 있다. 이런 현상의 결과로 특정 학과에서는 과도한 복수전공자의 유입(유출)으로 여러 가지 문제가 발생하고 있다. 따라서 본 논문에서는 사회연결망 분석과 의사결정나무 분석을 이용하여 학과별 복수전공자들의 유입과 유출에 대한 특성을 분석하였다. 분석방법으로 데이터 마이닝의 한 기법인 의사결정나무 모형을 활용하였으며, 분석결과에 대한 적절한 함의를 찾기 위해서 이지분리를 하는 CART 알고리즘을 사용하였다. 분석결과에 따르면, 복수전공 유입에 영향을 미치는 특성으로는 학과별 수능성적이 가장 많은 영향을 미치며, 그 다음으로 계열, 강의평가점수, 취업률의 순서로 나타났다. 한편 복수전공 유출에 영향을 미치는 특성으로는 계열이 가장 많은 영향을 미치며, 그 다음으로 수능성적, 취업률, 강의평가점수의 순서로 나타났다.

• 한방재활의학과학회지
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• 제32권3호
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• pp.119-129
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• 2022

Objectives This study aimed to evaluate the effects of Integrative treatment of traditional Korean medicine (TKM) on 7 hospitalized patients after hip fracture surgery, and to identify significant herbs and co-prescribed herbs by using network analysis and association rule mining. Methods A retrospective chart review of the 7 hospitalized patients treated for postoperative hip fractures between January and December 2021 was performed. All TKM treatments for the patients were identified and Wilcoxon signed-rank test was performed to compare hip pain and mobility on admission and discharge. We visualized the network of herbal medicines and complications. By using network analysis, we also identified the significant herbs (high centrality of degree, eigenvector, and sub-graph). Co-prescription patterns for the hip fracture patients were further analyzed by association rule mining. Results We found that TKM treatment significantly relieved hip pain and improved mobility. Accompanying symptoms reported by the patients were general weakness, anorexia, dizziness, delirium, edema, sputum, sore throat, cough, rhinorrhea, and chills. Herbs composed of Sagunja-tang and Samul-tang showed high centralities and high associations with other herbs. In addition, Gupan, Nokyong, Yukjongyong, Useul, and Hyunhosaek were identified as important herbs for postoperative hip fracture patients. Conclusions This study provides evidence for clinical TKM use as an effective postoperative treatment for pain relief and improvement of mobility in patients with hip fractures. In addition, herbs that can be considered in the treatment of patients after hip fracture surgery were identified through network analysis and association rule mining.

• 대한통합의학회지
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• 제11권3호
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• pp.137-145
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• 2023

Purpose : The purpose of this study was to identify the degree of work ethics of an occupational therapist and examine the correlation between work ethics and organizational commitment. In this study, we aimed to investigate the effects of occupational therapists' work ethics on organizational commitment. Through this study, we aim to determine the importance of work ethics and find a way to improve organizational commitment in occupational therapists. Methods : We conducted nationwide surveys on occupational therapists working in hospitals and other institutions from April 24, 2023 to May 30, 2023. We evaluated general characteristics, work ethics, and organizational commitment. General characteristics were analyzed using a frequency analysis. Work ethics and organizational commitment were examined using descriptive statistics. The correlation among work ethics and organizational commitment was analyzed using the Pearson correlation coefficient. Additionally, a multiple regression analysis was conducted to identify factors that affected organizational commitment. Results : The results of this study were as follows. First, the average score of work ethics was 3.32 ± .32. Second, a significant positive correlation was observed between work ethics and organizational commitment (p<.01). And as a result of the correlation between work ethics sub-factors and organizational commitment, wasted time (r=.261, p<.01), centrality of work (r=.366, p<.01), morality/ethics (r=.470, p<.01), leisure (r=.189, p<.05), delay of gratification (r=.410, p<.01), hard work (r=.437, p<.01), self-reliance (r=.233, p<.01) showed a statistically significant correlation. Third, the sub-factors of work ethics that influenced organizational commitment, including morality/ethics (𝛽=.302, p<.01), hard work (𝛽=.271, p<.01), and delay of gratification (𝛽=.205, p<.01) were identified. Conclusion : In conclusion, the results of this study underscore the importance of work ethics in influencing organizational commitment. Through this study, we recognized the importance of work ethics, which may serve as basic data to promote work ethics and improvement of organizational commitment.