A Model for an Aggression Discovery Through Person Online Behavior

摘要

Reports on aggression acts are quite often in modern community. Its bigger part actively uses Internet resources. The paper considers a hypothesis on a presence of the relationship between real world aggressive behavior and behavior in Internet. The presented model assumes a conduction of aggression tests and monitoring web user online behavior. Gathered data serves as a training data set required for machine learning, which will let to classify an aggression through a person online behavior.