Abstract
Recently, social networks have become extremely popularity and generated a tremendous amount of content by users. This user-generated content can naturally reflect real-world events as they happen. Here users act as an important role for information propagation through social networks. The goal of this work is to identify event class by its propagation behavior through social network. ``Concept-based evolving graph sequences'' (cEGS) is utilized to verify information propagation trends of events. The experimental results demonstrates our approach successes in classifying events into six classes by the analysis of cEGS.