METHOD AND SYSTEM FOR SELECTING A TARGET WITH RESPECT TO A BEHAVIOR IN A POPULATION OF COMMUNICATING ENTITIES

The method uses predictive analysis to determine a model based on past data including a first social network built between communicating entities for a first observation period and behavioral centrality measures derived from behavioral data observed in a following time period. The model thus determined is then applied to a second social network built for a second observation period more recent than the first one. This provides predicted behavioral centrality measures for a future period, which can be used to perform an efficient selection of entities in the target, which may maximize virality with respect to the specific behavior of interest.