SNS 빅데이터 분석을 통한 여행주간 국내여행 트랜드 및 관계구조

• 영문명: The Trend and Structure of Domestic Travel related to Travel Week Using SNS Big Data: Focused on Hashtag of Instagram
• 발행기관: 관광경영학회
• 저자명: 허인범 윤희정
• 간행물 정보: 『관광경영연구』제24권 제7호, 267~283쪽, 전체 17쪽
• 주제분류: 사회과학 > 관광학
• 파일형태: PDF
• 발행일자: 2020.12.31

영문 초록

The purpose of this study is to analyze the contemporary trend and relationship structure of domestic travel related to travel week. For this purpose, this study selected Instragram hashtag, one of the most popular SNS these days, and use Word2Vec (word embedding to vector) as a new word embedding method for big data analysis, cluster analysis, and social network analysis for centrality analysis including degree centrality, closeness centrality, betweenness centrality, and eigenvector centrality of travel week’s keywords. The main results of this study show that family travel, travel in fall season and Kangwon province and Busan city as destinations of travel week have high centrality and influence. These results will be a useful guideline for policy makers, marketing managers and tourism planners of DMO in sustaining and expanding travel week policy.

목차

Ⅰ. 서 론

Ⅱ. 이론적 배경

Ⅲ. 연구범위 및 방법

Ⅳ. 연구결과 및 고찰

Ⅴ. 결 론

참고문헌

키워드

Big Data Instagram Hashtag, Word2Vec Social Network Analysis Centrality analysis