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http://dx.doi.org/10.14400/JDC.2017.15.10.525

Analysis of Waterpark Status and Recognition Using Big Data Analysis  

Kim, Jae-Hwan (Dept. of Social Sports, International University of Korea)
Lee, Jae-Moon (Dept. of Physical Education, Kyung Hee University)
Publication Information
Journal of Digital Convergence / v.15, no.10, 2017 , pp. 525-535 More about this Journal
Abstract
The purpose of this study aims to examine consumer perception and current status of water park. The Naver and Daum were used for data collection channels and the keyword 'water park' was used for data retrieval. The data analysis period was limited to the study period from January 1, 2015 to December 31, 2016 for a total of two years. First, as a result of the frequency analysis, hidden cameras, Lotte water park, arrests, suspects, gimhae were in top 5 in 2015, Lotte water park, swimming, summer, opening, admission ticket were in top 5 in 2016. Second, as a result of the connection degree central analysis, hidden camera, arrest, suspect, female, shower room were in top 5 in 2015, swimming, Lotte water park, summer and One Mount, admission ticket were in top 5 in 2016. Third, as a result of the N-GRAM network graph, the water park/hidden camera, the hidden camera/hidden camera, the suspect/arrest, the Gimhae/Lotte water park, water park/suspect were in top 5 in 2015, and One Mount/water park, Gimhae/Lotte water park, water park/admission ticket, water park/water park, water park/opening were in top 5 in 2016. Fourth, as a result of the CONCOR analysis, three groups in 2015 and two groups in 2016 were formed.
Keywords
Big Data; Social network analysis; Semantic network analysis; Text mining; Waterpark;
Citations & Related Records
Times Cited By KSCI : 11  (Citation Analysis)
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