RJCC 연구 키워드 네트워크: 동시출현단어분석과 군집분석 = Keyword networks in RJCC research: A co-word analysis and clustering

다국어 초록 (Multilingual Abstract)

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.

참고문헌 (Reference)

• 1 박한우, "한국어의 내용분석을 위한 KrKwic 프로그램의 이해와 적용 : Daum.net에서 제공된 지역혁신에 관한 뉴스를 대상으로" 한국자료분석학회 6 (6): 1377-1387, 2004
• 2 조수곤, "텍스트마이닝을 활용한 산업공학 학술지의 논문 주제어간 연관관계 연구" 대한산업공학회 38 (38): 67-73, 2012
• 3 남수현, "지식흐름의 계량분석-한국의 기술혁신연구를 중심으로" 한국기술혁신학회 8 (8): 337-359, 2005
• 4 최일영, "제품 네트워크 분석을 이용한 고객의 구매제품 특성 비교 연구" 한국경영과학회 34 (34): 57-72, 2009
• 5 유홍식, "전문학술지에 게재된 의류학 연구-한국의류학회지와 CTRJ를 중심으로-" 한복문화학회 7 (7): 37-45, 2004
• 6 윤지운, "신체활동을 주제로 한 치매연구 동향 분석: 키워드 네트워크의 활용" 한국운동생리학회 28 (28): 11-21, 2019
• 7 박지수, "사회연결망 분석을 활용한 패션 트렌드 고찰" 한국의류학회 38 (38): 611-626, 2014
• 8 이기헌, "문헌정보학 분야 핵심 학술지들의 가중 주제 - 방법 네트워크 분석" 한국문헌정보학회 49 (49): 457-488, 2015
• 9 김상배, "네트워크로 보는 중견국 외교전략: 구조적 공백과 위치권력 이론의 원용" 한국국제정치학회 51 (51): 51-77, 2011
• 10 Weigang Wang, "Structured hypertext with domain semantics" Association for Computing Machinery (ACM) 16 (16): 372-412, 1998
• 11 Wasserman, S., "Social network analysis : Methods and applications" Cambridge University Press 1994
• 12 Kim, Y. H., "Social network analysis" Pakyoungsa 2003
• 13 Son, D. W., "Social network analysis" Kyungmoonsa 2005
• 14 S. J. Lennon, "Research Trends in Textiles and Clothing: An Analysis of Three Journals, 1980-1999" Wiley 30 (30): 117-139, 2001
• 15 Yong-Mi Kim, "Medical informatics research trend analysis: A text mining approach" SAGE Publications 24 (24): 432-452, 2016
• 16 Aolin Yang, "Identification of Recent Trends in Research on Vitamin D: A Quantitative and Co-Word Analysis" International Scientific Information, Inc. 25 : 643-655, 2019
• 17 Jang, H. Y., "Exploring the structure of media criticism : A network analysis of the problems in Korean newspaper reporting" 16 : 108-135, 2001
• 18 Jung, C. -J., "Changing focus and development of Korean clothing and textiles : 1959-1990" 15 (15): 28-37, 1991
• 19 Usha Chowdhary, "Changing Focus of Textiles and Clothing Within Home Economics: An Analysis of Two Professional Journals" SAGE Publications 2 (2): 15-18, 2016
• 20 Hansen, D., "Analyzing social media networks : Learning by doing with NodeXL" 28 (28): 1-47, 2009