빅데이터를 이용한 유산관광 연관단어 및 소셜네트워크 분석

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.