소셜네트워크 분석을 활용한 리듬운동관련 키워드 탐색

Abstract

The purpose of this study is to predict and analyze potential demand in rhythmic exercise by applying a big data analysis method. The period of this study was set to about seven years from December, 2014 to December, 2021, and data on “rhythm exercise”, “sports” were collected from Naver and Google. As a result, 4,256 keywords appeared and used for analysis as search terms. Text mining analysis and social network analysis were applied for data analysis using TEXTOM 4.5 program. First, the top words are “exrecise”, “rhythmic exercise”, “sprots”, “sports club” and “rhythm”. As a results of the TF-IDF(Term Frequency - Inverse Document Frequency) analysis, the top words are “sports club”, “rhythmic exercise”, “seoul”, “campaign” and “exercise”. And, the connection between word is in the following order, “Seoul – exercise”, “rhythmic exercise – a member of the national team” and “sports club – rhythmic exercise team” Finally, the results of social network analysis were “exercise”. “sports”, “rhythmic exercise”, “rhythm” and “athlete”. This study investigated using the big data, and it is believed that it can be used as a reference in identifiying the needs sought by rhythm exercise consumers.