Analysis of Korean Travel Trends Using Social Big Data: Focused on Family Travel and Solo Travel (소셜 빅데이터를 이용한 한국인의 여행트렌드 분석 - ‘가족여행’과 ‘나홀로여행’을 중심으로 -)

LEE MI KYUNG (이미경)

doi:10.17086/JTS.2018.42.10.111.134

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

LEE MI KYUNG ¹

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.

KEYWORDS

Social big Tdata, Family travel, Solo travel, Social network analysis(SNA)

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This paper was written with support from the National Research Foundation of Korea.

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