국내 역도 연구의 연구동향 및 지식구조 탐색: 키워드 네트워크 분석의 적용

초록

This study explored research trends and the knowledge structure of weightlifting research in Korea using keyword network analysis. A total of 104 articles containing English keywords were collected from KCI, RISS, and KISS databases. Frequency analysis, degree centrality analysis, and knowledge mapping were conducted after data preprocessing. The results indicated that most weightlifting studies in Korea have been published since 2000. The most frequently identified keywords were snatch, isokinetic, kinematic, electromyography (EMG), and performance. Knowledge structure analysis revealed two major research clusters: a technical analysis cluster centered on kinematics and EMG, and a physical fitness and performance evaluation cluster centered on isokinetic muscle function and physical fitness. The two clusters were not directly connected, suggesting that they have developed as independent research streams. These findings provide a systematic overview of the development and knowledge structure of Korean weightlifting research and offer directions for future studies, particularly in integrating technical analysis with physical performance evaluation.

키워드