W. Pan, W.Dong, M. Cebrian, T. Kim,A.Pentland

Abstract

How can we model influence between individuals in a social system? How can we use influence to model and predict observations from social systems? In this article, we explain the recent advances of the influence model, a Bayesian network approach for modeling social influence from observations of individuals. We review the development of the influence model in the literature. We also introduce the generalization of the influence model, the dynamical influence model, and demonstrate three examples on how to use these models.