We propose a new definition for event outbreaks, based on the structure of social networks.
We analyze outbreak events by segmenting them into 20 temporally equal parts.
We uncover those features relevant to accurate predictions at each stage of an outbreak event.
Five specific features are especially relevant to accurate predictions of event outbreaks.