Online social networks play a major role in the spread of information at very large scale and
it becomes essential to provide means to analyse this phenomenon. In this paper we
address the issue of predicting the temporal dynamics of the information diffusion process.
We develop a graph-based approach built on the assumption that the macroscopic
dynamics of the spreading process are explained by the topology of the network and the
interactions that occur through it, between pairs of users, on the basis of properties at the …