Predicting Event Participation from Social Networks and Media
Social Media and Networks bear great potential to predict crowd behavior. This was shown in many contexts in the past such as for instance in detecting earth quakes, predicting elections, etc. The goal of this project is a similar one but focuses on a different kind of problem namely known as predicting event participation from social media and networks. The goal of this project is to analyze large scale social media datasets (over time) obtained for instance from Social Media platforms such as Twitter and to implement a predictive model (based on the observations made) that is able to forcast event participation with high accuracy.