Social networks like Twitter are a central communication channel, where people share their opinions, emotions, and views with the world which is also true during live TV events. These opinions are able to start a discussion and influence the opinion of others. This influence is able to impact the results of televised events such as the Eurovision Song Contest. In the process of sharing information, key groups could be able to be more effective and have a bigger reach at different points of an event. Therefore, their identification is relevant for research, event operators, participants, and fans. We aim to create an understanding of how groups and opinion leaders change over the event period of the contest by conducting a social network analysis based on Tweets. Word clouds will be used to confirm findings from the social network analysis as well as to identify topics within tweets for further research.