Chansanam, W., Tuamsuk, K., Kwiecien, K., Sutthiprapa, K., & Oh, S.
The analysis aims to study the popularity phenomenon in the Korean culture of online social networks in Thailand. The methodology is digital visualization applies to relations and exchanges of the analysis of social networks (SNA). Through social networking and graph theory, this research explores Twitter data shortly after a tweet by the K-pop popular Twitter accounts to their followers. An implementation of a single case study and the SNA provided interchanges realistic and prompt on Twitter of 5,356 K-pop Twitter accounts tweets. With the growing need to understand social media interaction in various contexts, this paper uses the Gephi Platform for Social Network Research. Gephi is open-source network software used to analyze, draw, and visually present information from relationships between stakeholders in the K-pop popular Twitter accounts on social media networks. The findings clarify the distribution of K-pop famous Twitter accounts data and the network structure. The apparent results identify the influents – the mostly Thai youth, specific Twitter users, and caretakers in the distribution of a Korean pop music culture that will affect all Thai people. The paper contributes theoretically in a less researched subset in social networking and social media research during important events by adding graphic theory.