키워드 네트워크 분석을 활용한 국내 전통춤 연구의 지식구조 탐색 (The Knowledge structure of domestic traditional dance research using keyword network analysis)

서지정보

· 발행기관 : 한국체육과학회
· 수록지 정보 : 한국체육과학회지 / 32권 / 3호 / 639 ~ 649페이지
· 저자명 : 김혜련

초록

This study seeks to explore the knowledge structure of studies conducted on the subject of traditional dance using network-based keyword analysis. Specifically, first, basic information on the publication status of domestic traditional dance research was calculated, and second, major keywords of domestic traditional dance research were identified. Third, the knowledge structure of domestic traditional dance research was confirmed using network-based keyword analysis. In this study, domestic traditional dance-related studies were selected as the population, and 180 studies and 927 individual keywords were selected as research materials after removing 575 duplicate studies through a data purification process among a total of 755 studies. For data processing, descriptive statistics and network-based keyword analysis were performed. For data processing, the Netminer 4.0 program was used.The results of this study are as follows. First, studies related to domestic traditional dance have been continuously increasing since 1985. Second, the top 5 keywords that are mainly applied in domestic traditional dance research are 'dance movements', 'intangible cultural assets', 'salpuri', 'teaching methods', and 'seungmu', followed by traditional dance and traditional dance, which are keywords for data search. Third, research on domestic traditional dances showed that the knowledge structure was formed in the research areas of 'related to cultural assets', 'Korean Wave cultural contents', and 'traditional dance types' and finally, 'Korean sentiment and succession'. The results of this study will provide basic information on research trends and related knowledge structures of traditional dance in Korea and will be utilized in various academic fields.

영어초록

This study seeks to explore the knowledge structure of studies conducted on the subject of traditional dance using network-based keyword analysis. Specifically, first, basic information on the publication status of domestic traditional dance research was calculated, and second, major keywords of domestic traditional dance research were identified. Third, the knowledge structure of domestic traditional dance research was confirmed using network-based keyword analysis. In this study, domestic traditional dance-related studies were selected as the population, and 180 studies and 927 individual keywords were selected as research materials after removing 575 duplicate studies through a data purification process among a total of 755 studies. For data processing, descriptive statistics and network-based keyword analysis were performed. For data processing, the Netminer 4.0 program was used.The results of this study are as follows. First, studies related to domestic traditional dance have been continuously increasing since 1985. Second, the top 5 keywords that are mainly applied in domestic traditional dance research are 'dance movements', 'intangible cultural assets', 'salpuri', 'teaching methods', and 'seungmu', followed by traditional dance and traditional dance, which are keywords for data search. Third, research on domestic traditional dances showed that the knowledge structure was formed in the research areas of 'related to cultural assets', 'Korean Wave cultural contents', and 'traditional dance types' and finally, 'Korean sentiment and succession'. The results of this study will provide basic information on research trends and related knowledge structures of traditional dance in Korea and will be utilized in various academic fields.

참고자료

· 없음