How do fandom types differ? A taxonomy of K-pop fandom with network embedding
Since fandom as a distinctive customer group known for their exceptional loyalty and profitability has increasingly gained influence, fandom marketing has become crucial for the success of businesses. However, there is a lack of quantitative methods to identify and classify different types of fandoms. This study proposes a network embedding-based approach to identifying different types of fandoms. The proposed approach is applied to the K-pop industry, which has experienced remarkable growth due to its fandom. A fandom of a K-pop artist is captured as a network of Twitter users based on their mention relationships
Science Direct / Entertainment Computing
