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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