Social Network Analysis of Tweets on Typhoon during Haiyan and Hagupit

Social media sites have become a platform for interaction during disaster and emergency situations. Twitter, for instance, is found to be one of the top preferred for sharing and seeking information. To reveal more information about the interaction of users regarding a specific event or topic, Social Network Analysis (SNA) is utilized. Content analysis and SNA have been implemented on the tweets regarding different situations to be able to understand and depict a visual representation of interaction between users. In this study, SNA was employed to reveal the user interaction of the Filipino community between two major typhoons that hit the Philippines. Similarities and differences were revealed by the social networks that were derived. Results also revealed that users tend to seek and share information from reliable sources such as news websites and verified Twitter users. Determining the interaction of Twitter users in an online community plays a vital role in information dissemination and allows appropriate response during disaster and emergency situations.