최근 10년간 한국체육정책학회지 연구동향 분석: 언어네트워크분석(Semantic Network Analysis)을 중심으로

Abstract

In order to learn about the academic research trends of sports policy in Korea, this study attempted to analyze 500 keywords in 352 thesis subjects listed in the Journal of Korean Sport Policy, Korea's most representative journal on sports policy through language network analysis. The time span waㄴ covered by papers from 2010(15 volumes) to 2019(49 volumes) on the corresponding academic journal search site. The analysis of the language network analyzed the frequency, density analysis, and centrality of the keywords on an indicator, and based on this analysis, visualization by UNINET6 & NetDraw program was attempted. We also found hidden subgroups through CONCOR analysis, a kind of cluster analysis. The study found that the subject matter, which recorded the highest frequency, was "improvement," followed by "Korea," "sports," "player" and "activation." "Improvement" and "Korea" with high frequency were also dominant in most centralities, and were classified into eight subgroups through CONCOR analysis.