빅데이터를 활용한 태권도학 연구동향 분석 : 2010년~2020년까지의 학술지를 중심으로

Abstract

In this study, the necessity and purpose of the study is to conduct big data analysis on 11 years of Taekwondo research papers from 2010 to 2020 and to understand the flow of Taekwondo research through comparison with other previous research trends. In order to achieve the purpose of the study, data were collected from papers published on the site or candidate site from 2010 to 2020 by limiting the keyword to Taekwondo using Riss, and CONCOR analysis was conducted using text mining and Ucinet6, and the following results were compared and analyzed from 1974. First, the highest frequency in frequency analysis was Taekwondo, influence, relationship, Taekwondo player, Taekwondo leader, university Taekwondo player, influence, relationship, analysis, exploration, structural relationship, and self-management. As a result of semantic network analysis, clusters of psychology, research, analysis, game psychology, Taekwondo school, trainees, training, and others were named.