원문정보
Clustering and Centrality of Keywords related to Solo Travel at Social Media : Using Word2Vec and Social Network Analysis
초록
영어
The purpose of this study is to analyze the clustering and the centrality keywords related to solo travel at social media. For this purpose, this study selected Instragram hashtag, one of the most popular social media, and use Word2Vec as a new word embedding method for big data analysis, cluster analysis, and social network analysis for centrality analysis of solo travel’s key words. The cluster results of key words of solo travel show that travel destination, social media or online travel community, travel photography, travel motivation are main types of solo travel, and food and beverage, photo, daily recording when travelling and so on have high centrality and influence. These results will be a useful guide for marketing strategies in expanding solo travel market.
목차
Ⅰ. 서론
Ⅱ. 이론적 배경
1. 소셜미디어의 나홀로 여행
2. Word2vec 및 소셜네트워크분석
Ⅲ. 연구범위 및 방법
1. 데이터 추출 및 정제
2. 분석과정 및 방법
Ⅳ. 연구결과 및 고찰
1. 연관단어 빈도분석
2. 주요 연관단어 도출 및 클러스터링
3. 소셜미디어 및 여행커뮤니티관련 클러스터의 중심성 분석
Ⅴ. 결론
참고문헌