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We present in this paper a framework to model information diffusion in social networks based on linear multivariate Hawkes processes. Our model exploits the effective broadcasting times of information by users, which guarantees a more realistic view of the information diffusion process. The proposed model takes into consideration not only interactions between users but also interactions between topics, which provides a deeper analysis of influences in social networks. We provide an estimationdoi:10.4108/icst.valuetools.2014.258186 dblp:conf/valuetools/PintoC14 fatcat:6zgy4pga2fhqrer6aapd7xroli