본문 바로가기
KERD
논문KCI 등재

키워드 네트워크 분석을 활용한 메이크업 분야 연구 동향 분석

Keyword Network Analysis of Research Trends in Makeup

김애경
한국피부과학연구원 (Korea Institute of Dermatological Sciences)|2024.09|아시안뷰티화장품학술지 (Asian Journal of Beauty and Cosmetology)|제22권 제3호|pp. 415-425

0

조회

0

다운로드

0

인용

0

참고문헌

키워드

연구동향이미지메이크업반영구화장키워드네트워크분석关键词网络分析，化妆，研究趋势，形象，半永久化妆
주제분류미용

초록

목적: 이 연구는 메이크업과 관련된 논문의 주제어를 키워드 네트워크 분석을 통해 최근 10년 동안 연구된 핵심적 주제를 파악하고자 하였다. 방법: 한국연구재단에서 제공하는 KCI 학술지 D/B에서 추출한 자료를 키워드 네트워크 분석을 활용하였다. 2013- 2022년 기간의 메이크업 관련 논문 585편을 분석에 사용하였다. 결과: 첫째, 메이크업 관련 키워드의 빈도를 살펴본 결과 '이미지' 이 가장 많은 빈도를 나타냈고 ‘아트메이크업’, ‘디자인’, ‘화장품’, ‘컬러’ , ‘반영구화장’ 같은 주제어의 순으로 빈도가 높았다. 둘째, 1기(2013년-2017년), 2기(2018년-2022년)로 분리하여 살펴본 결과, 1기는 ‘이미지’, ‘컬러’, ‘디자인’, ‘아트메이크업’ 순이고, 2기는 ‘화장품’, ‘이미지’, ‘아트메이크업’, ‘디자인’, ‘반영구화장’ 순으로 연구가 이루어졌다. 셋째, 중심성 분석을 통해 키워드 간속성을 알아본 결과 키워드들 간 가장 많은 상호작용을 하고 있는 키워드는 ‘이미지’이며 ‘디자인’, ‘아트메이크업’은 다른 키워드들과 연결의 중심성이 높은 키워드로 메이크업 관련 연구에서 중요한 주제임을 알 수 있다. 결론: 메이크업과 관련된 연구는 이미지, 화장품, 컬러, 예술, 행동, 서비스, 교육 등 다양하게 이루어지고 있지만, 제 4차 산업과 인공지능(AI) 등 융합 연구가 이루어지고 이와 관련된 키워드가 향후 많이 등장해야 할 것으로 사료된다.

Abstract

Purpose: This study aims to identify research on makeup-related topics from the past decade using keyword network analysis. Methods: This study used keyword network analysis to extract data from the Korea Citation Index journal database of the National Research Foundation of Korea. A total of 585 papers related to makeup, published between 2013 and 2022, were used for the analysis. Results: An examination of the frequency of makeup-related keywords indicated that “image” displayed the highest frequency, followed by “art makeup,” “design,” “cosmetics,” “color,” and “semi-permanent makeup.” The study then classified the year of publication into the first (2013–2017) and second (2018–2022) periods. The terms “image,” “color,” “design,” and “art makeup” and “cosmetics,” “image,” “art makeup,” “design,” and “semi-permanent makeup” were studied in these orders during the first and second periods, respectively. Third, the study explored the properties of keywords using centrality analysis. The results indicated that the keyword with the most interaction with other keywords is “image,” whereas “design” and “art makeup” are keywords with a high centrality of connection with other keywords used in makeup-related research. Thus, the result implies that this topic is important. Conclusion: Research related to makeup is being conducted on various topics, including image, cosmetics, color, art, behavior, service, and education. However, convergence research, such as the Fourth Industrial Revolution and artificial intelligence (AI), is being conducted, and keywords related to this are expected to appear in several cases in the future.

참고문헌 (24)

  1. Baek KJ, "The analysis of study trend on Journal of the Korean Society of Cosmetology", Journal of the Korean Fashion & Costume Design Association, 11, pp.17~27 (2009)
  2. Bae BJ, "A study of the current state on Ph.D. course and thesis in domestic beauty art related major", Asian Journal of Beauty and Cosmetology, 10, pp.645~654 (2012)
  3. Beak KG, "Language network analysis of make-up behavior research", The Research Journal of the Costume Culture, 27, pp.274~284 (2019)
  4. Borgatti SP, "Analyzing social networks", pp.141~145 (2018), Sage Publications
  5. Cho SY, "The analysis of research themes and area of treatises concerning make-up studies", Journal of the Korean Beauty Art Management, 5, pp.205~214 (2011)
  6. Choi JE, "Keyword network analysis of trends in research on young children’s play", The Journal of Learner-Centered Curriculum and Instruction, 19, pp.605~626 (2019)
  7. Choi YC, "Analyzing trends in the study of public administration : application of the network text analysis method", Korea Public Administration Review, 45, pp.123~139 (2011)
  8. Hur CH, "A research of cosmetology related faculty and practical using of magister and doctor thesis", Journal of the Korean Society of Cosmetology, 13, pp.1421~1433 (2007)
  9. Kim EJ, "Analysis of research trends on the Journal of Vocational Education Research : application of contents and network analysis method", Journal of Vocational Education Research, 36, pp.1~27 (2017)
  10. Kim JS, "A bibliometric analysis of research trends in the cosmetics industry: focusing on domestic graduate thesis", Journal of Investigative Cosmetology, 11, pp.249~258 (2015)
  11. Kim JS, "Bibliometric analysis of research trends according to the list of Journal of the Korean Society of Beauty and Arts", Journal of the Korean Society of Beauty and Art, 17, pp.175~188 (2016)
  12. Kim JS, "Bibliometric analysis on the research trends according to the list of Journal of the Korean Society of Cosmetology", Journal of the Korean Society of Cosmetology, 20, pp.144~154 (2014)
  13. Kim SH, "Bibliometric analysis on the research trends in the Journal of Korean Society of Beauty and Arts using text network analysis", Journal of the Korean Society of Beauty and Art, 21, pp.127~141 (2020)
  14. Kim SM, "A study of current trends in academic research on hairdressing", Journal of the Korean Society of Cosmetology, 20, pp.319~326 (2014)
  15. Lee JY, "Trends in the efficacy and safety of ingredients in acne skin treatments", Asian Journal of Beauty and Cosmetology, 16, pp.449~463 (2018)
  16. Lee HJ, "Research trends in hair-related dissertations over the past decade : focused on papers published in 2011-2020", Jounal of the Korean Society of Cosmetology, 27, pp.1196~1205 (2021)
  17. Lee HS, "A study on the beauty care-majoring junior college students’ satisfaction at the curriculum", Journal of the Korean Society of Cosmetology, 15, pp.168~183 (2009)
  18. Lee JY, "Centrality measures for bibliometric network analysis", Journal of the Korean Library and Information Science Society, 40, pp.191~214 (2006)
  19. Lee KH, "An exploration of a direction to promote early childhood playfulness based on big data", Journal of Educational Innovation Research, 29, pp.257~289 (2019)
  20. Lee KH, "Exploring the perceptions of early childhood teachers on happy lives using big data : a focus on keyword network analysis", The Society for Constructivist Early Childhood Education, 9, pp.103~136 (2022)
  21. Oh YK, "Analysis of research trends in skin care using keyword network analysis", Journal of the Korean Society of Cosmetology, 28, pp.1308~1317 (2022)
  22. Park EJ, "Research trends of misbehavior involving nursing students", Journal of Education & Culture, 26, pp.287~306 (2020)
  23. Park JS, "Analysis of terminology by year according to the change of beauty department department names", Journal of Digital Convergence, 19, pp.443~448 (2021)
  24. Park RN, "A network analysis on early childhood personality education : based on big data", The Journal of Korea Open Association for Early Childhood Education, 24, pp.171~197 (2019)

관련 논문AI추천

언어 네트워크 분석을 통한 화장행동 연구동향 분석백경진복식문화학회 · 복식문화연구2019 · 제27권 제3호텍스트 마이닝 기법을 활용한 국내외 바디페인팅 연구 동향 비교 분석김정희, 안은주, 이혜진한국피부과학연구원 · 아시안뷰티화장품학술지2025 · 제23권 제2호Text Network Analysis를 활용한 한국인체미용예술학회 연구동향의 계량서지학적 분석김신희한국인체미용예술학회 · 한국인체미용예술학회지2020 · 제21권 제3호K-뷰티 연구동향에 대한 텍스트마이닝 분석김연아, 김연정한복문화학회 · 한복문화2025 · 제28권 제3호미용분야에 관한 학술연구 동향분석 - 2005년 이후를 중심으로 -김경희한국니트디자인학회 · 패션과 니트2016 · 제14권 제3호미용 분야의 4차 산업혁명 핵심기술 연구 동향분석김보람, 김정원한국인체미용예술학회 · 한국인체미용예술학회지2024 · 제25권 제1호

이 간행물의 다른 논문 (10건)

인플루언서 속성이 브랜드 지속사용의도에 미치는 영향: 관계지속의도와 제품구매의 도의 매개효과를 중심으로이혜정, 강우성pp. 371-382Anti-acne and Tolerance Assessment of a Cleanser Containing Salicylic acid, Gluconolactone and NiacinamideYunfei Ai, Yu Caopp. 383-391고수 엑소좀의 Tyrosinase와 TRPs 발현 억제를 통한 피부 미백 증진 효과박정은, 김진우, 이선용, 박하영, 강민호pp. 393-402뷰티서비스 종사자의 커뮤니케이션 유형과 재방문의도의 관계에서 라포의 매개효과 를 중심으로박선주pp. 403-413주름뼈대그물말에 의한 RAW264.7 세포에서의 항염효과심중현pp. 427-435
원문 보기