소셜네트워크 빅데이터를 활용한 코로나 19의 무용공연, 무용관람, 무용환경 분석

Abstract

This study conducted big data analysis using social networks to analyze the corona 19 dance environment. The keywords of the social network big data were presented in three areas : 'Corona 19 and dance performance', 'Corona 19 and dance tour', and 'Corona 19 and dance environment'. In addition, the data of the three areas collected 6 months of data from January 1 to June 30, 2020. The scope of the data collection was three sites, Naver, Daum, and Google, and provided by three sites. Cafe, blog, knowledge, news, web documents, and academic information were used. Data collected through Textom was visualized using the Ucinet6 program, and a colony was formed through CONCOR analysis. First, the interests of online users about 'Corona 19 and Dance Performance' consisted of four main areas, and the biggest concern was the behavior of contacting dance performances according to Corona 19. Second, the interests of online users regarding 'Corona 19 and dance viewing' are mainly composed of four areas, and the biggest interest is the behavior of watching dance performances according to Corona 19. Third, online users' interest in 'Corona 19 and the dance environment' mainly consisted of 5 areas, and according to Corona 19, the biggest concern was the biggest concern about the dance environment.