1. A method of predicting influence in a social network, comprising: identifying a set of users of the social network; identifying a subset of the users as influential users based on defined criteria; identifying a multitude of measures as predictors of which ones of the set of users are said influential users; aggregating said measures; forming a composite predictor model based on said aggregating; and using said composite predictor model to predict which ones of the set of users will have a specified influence in the social network in the future.