Recently, researchers started to exploit content information in data-driven diffusion models Petrovic et al., 2011;Zhu et al., 2011).
most of the data-driven approaches assume that in order to train a model and predict the future diffusion of a topic, it is required to obtain historical records about how this topic has propagated in a social network (Petrovic et al., 2011;Zhu et al., 2011).