빅데이터를 이용한 유산관광 연관단어 및 소셜네트워크 분석

• 영문명: The Keywords and Social Network Analysis of Heritage Tourism Using Big Data
• 발행기관: 관광경영학회
• 저자명: 주징 윤현 윤희정
• 간행물 정보: 『관광경영연구』제25권 제5호, 155~173쪽, 전체 19쪽
• 주제분류: 사회과학 > 관광학
• 파일형태: PDF
• 발행일자: 2021.09.30

영문 초록

The purpose of this study is to analyze the contemporary universal trend and the relationship structure of keywords related to domestic heritage tourism using big data analysis. For this purpose, this study selected the nation's major portal Naver and Daum, and use frequency analysis, centrality analysis including degree centrality, closeness centrality, betweenness centrality, and eigenvector centrality, and community analysis of heritage tourism’s keywords. The main results of this study show that the keywords related to cultural heritage, UNESCO, world heritage, tourism, world cultural heritage, inscription, use and so on, are of high frequency and the keywords related to inscription on the UNESCO World Heritage list have the highest centrality and influence. These results will be a useful information for policy makers, marketing managers and tourism planners performing DMO’s heritage tourism work in understanding contemporary travelers’ universal cognition and in sustaining heritage tourism for the next decade.

목차

Ⅰ. 서 론

Ⅱ. 관련연구동향

Ⅲ. 연구범위 및 방법

Ⅳ. 분석결과

Ⅴ. 결론

참고문헌

키워드

Heritage Tourism Cultural Tourism Big Data Social Network Analysis Centrality Analysis Community Analysis