Event-driven TV programs web community exploration

With the goal of understanding how major public interest events are perceived by the TV public and how the users' interests evolve in time, we introduce a data collection, integration and analysis framework that allows to compute, characterize and explore dynamic social web communities. We focus on communities of Twitter users that interact each-other around specific TV events and track their public cybersocial activities to analyze and visualize the information diffusion processes and understand how they affect the community structure of the social network. Copyright held by the author(s).