earticle

영어

The purpose of this study is to analysis of find components that affect travelers' sharing of travel experiences expressed in social media environments. The majority of existing studies have been from big data using surveys or online reviews, where we conduct social network analysis by setting up the following research problems to analyze what travelers want to share about their travel experiences by extracting unstructured data generated directly from social media. A total of 25,959 words were collected, and the collected travel experience sharing data were extracted to the top 50 to conduct the analysis. looking at the simultaneous appearance frequency analysis and connection centricity results of noun data in this study, first, the highest ranking of noun data connection centricity was in the order of travel, people, thoughts, time, city, weather, landscape, accommodation, and village. They were found to have both high frequency and high degree of connectivity, and were linked to all texts, which can be seen as highly influential between texts. looking at the results of the study, photos and images among travel-related factors in the analysis of the frequency of simultaneous appearance have great connectivity, and travelers prefer places where they can share and spread their content on social media when choosing a destination.