빅데이터를 활용한 스크린골프 인식 연구: 골프존을 중심으로

Abstract

This study examines the awareness of golf-zone utilizing Big Data Analysis. For this purpose, blogs, cafes, intellectuals(tips), news, and web documents provided by Naver and Daum were selected as analysis channels, and the keyword searching for big data was ‘golf-zone’ which was extracted as main word. Data analysis period was limited to 2 years from January 1, 2018 to December 31, 2019. For data collection and analysis, frequency and metrics data were extracted through Textom, Social Metrics program, and the degree of the relationship was quantified by analyzing the connection structure and connection degree centrality between words using Ucinet6. For visualization, NetDraw function of Ucinet6 was used in order to show the connections among the words related to the keyword. In addition, CONCOR analysis was conducted to derive clusters formed by words having similarity. The results of the analysis are as follows: First, as a result of analyzing the key words through the upper words using golf-zone as a keyword and Academy, Golf-zone, Screen golf, Golf, Distance appeared among the top 5. Second, As a result of CONCOR analysis, groups of ‘Core Services’, ‘Consumer Attractive Service’, ‘Education Service’, ‘User-friendly service & Pro-social Management Activities’, ‘Personalized service’ were formed.