국내 무용 콘텐츠 관련 연구의 지식구조 탐색 : 키워드 네트워크 분석의 활용

Abstract

This study aimed to explore the intellectual structure of domestic dance content research in Korea by applying keyword network analysis. A total of 93 articles published across 34 academic journals were collected and analyzed. Descriptive statistics were first conducted to examine the distribution of publications by journal and year, followed by keyword co-occurrence analysis using KrKwic. The resulting co-occurrence matrix was then subjected to network analysis, focusing on betweenness centrality, closeness centrality, and eigenvector centrality. Visualization of the network was generated with NodeXL Pro. The results revealed that dance and content emerged as the core axes of the network, demonstrating the highest values across all centrality measures. Education, cultural content, and dance content were identified as key mediating keywords that connect academic and industrial perspectives. In contrast, keywords such as online, video, and intangible cultural heritage exhibited low centrality, positioning them in the periphery of the network, although they hold potential for future research expansion. Overall, this study highlights that domestic dance content research has evolved at the intersection of traditional dance scholarship and digital content industries, extending toward education, popular culture, and new media. These findings provide foundational insights for advancing scholarly discourse, enhancing cultural and industrial applications, and fostering the sustainable growth of dance content research.