Learning influence probabilities in social networks

  title={Learning influence probabilities in social networks},
  author={Amit Goyal and Francesco Bonchi and Laks V. S. Lakshmanan},
Recently, there has been tremendous interest in the phenomenon of influence propagation in social networks. The studies in this area assume they have as input to their problems a social graph with edges labeled with probabilities of influence between users. However, the question of where these probabilities come from or how they can be computed from real social network data has been largely ignored until now. Thus it is interesting to ask whether from a social graph and a log of actions by its… CONTINUE READING
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