고소득 미술작가의 사회적 네트워크와 거래성과 분석

Abstract

This study is the first research to derive a social network activity index based on the career factors of the top 50 artists and analyze its relationship with transaction performance. The analysis results indicate that personal network centrality among artists has the most significant impact on transaction performance, followed by the importance of group network centrality. Additionally, the study categorizes artists into three clusters based on their careers: major and awards, education and number of solo exhibitions, and whether they studied abroad and social experience. These clusters demonstrate differences in transaction performance and social network characteristics. This study validates the importance of social networks that influence the transaction performance of visual artists, particularly by examining the network characteristics more closely by distinguishing between individual networks among artists and organization networks involving artists.