Journal of Tourism Sciences 2023 KCI Impact Factor : 2.7
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pISSN : 1226-0533 / eISSN : 2713-6388
- https://journal.kci.go.kr/JTS
KJCKorea
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Analysis of Korean Travel Trends Using Social Big Data: Focused on Family Travel and Solo Travel
- Journal of Tourism Sciences
- Abbr : JTS
- 2018, 42(10), pp.111-134
- DOI : 10.17086/JTS.2018.42.10.111.134
- Publisher : The Tourism Sciences Society Of Korea
- Research Area : Social Science > Tourism
1영남대학교
Excellent Accredited
ABSTRACT
This study analyzed Korean travel trends using big data focused on family travel and solo travel as emerging world tourism trends. FIT is divided into family travel and solo travel. Social data were collected using search keywords of “family travel” and “solo travel,” and social network analysis was utilized. The results of analysis showed word frequency, n-gram (2-gram) frequency, travel attributes, centrality, and structural equivalence in the networks of family travel and solo travel. This study is meaningful in adopting network analysis as a new methodology and improving the efficiency of research by saving time and cost through big data analysis. This study can be useful as academic material in showing not only travel behaviors of family and solo travelers but also Korean cognition of each travel type.
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This paper was written with support from the National Research Foundation of Korea.