Toward Collective Behavior Prediction Via Social Dimension Extraction

Collective behavior refers to how individuals behave when they are exposed in a social network environment. In this paper, the authors examine how they can predict online behaviors of users in a network, given the behavior information of some actors in the network. Many social media tasks can be connected to the problem of collective behavior prediction. Since connections in a social network represent various kinds of relations, a social-learning framework based on social dimensions is introduced.