빅데이터 분석을 통한 수영 인식변화 연구：한국과 중국을 중심으로

초록

Purpose: The purpose of this study is to analyze changes in perception of swimming based on big data analysis and provide basic data for policy establishment for the development of swimming. Methods: To this end, data will be collected from Naver, Google, Baidu, and Daum, the representative portals of Korea and China, for five years from January 1, 2015 to January 1, 2020. In addition, frequency, connection centrality, and semantic network analysis are conducted using social matrix program Textom, Ucinet6 for network analysis, and NetDraw. Results: As a result of the analysis, first, as a result of analyzing frequency and connection centrality through keyword analysis, words such as swimming pool, value, survival swimming, health, and safety were found to be the most searched in Korea. Second, as a result of the Korean analysis of connection centrality, it was analyzed as swimming pool, exercise, value, survival swimming, and safety. As a result of Chinese analysis of connection centrality, it was analyzed as games, sports, swimming pools, and sports. Third, as a result of the analysis of the Korean network, it is a change in the swimming recognition process that the public has changed from exercise and learning to survival swimming, health, and safety awareness during the total survey period. Conclusion: First, the Korean public is paying more attention to safe swimming as well as learning to improve their physical health. Second, China's public perception has changed from elite sports to daily sports, and public participation in swimming is increasing. Third, as a result of the network analysis, the public's perception of swimming changed from swimming to safe swimming.

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