Therefore, with the rapid development of social media, SNA has become one of the commonly used case analysis methods of crisis communication in academia (Schultz et al., 2012; Park et al., 2019). In crisis communication, researchers and practitioners use SNA to infer the cluster composition of words. Then, according to their relevance, the terms are classified into different clusters. Finally, we can extensively explore social media users’ attitudes toward those responsible for the crisis and their main concerns (Scheufele, 1999). Based on SCCT, Park and Park (2020) examined the public’s opinion on Samsung’s crisis communication strategy through SNA. These studies suggest that SNA can identify users’ attitudes or perceptions on social media.
