Modelling time evolving interactions in networks through a non stationary extension of stochastic block models
Modelling time evolving interactions in networks through a non stationary extension of stochastic block models
The stochastic block model (SBM) [1] describes interactions between nodes of a network following a probabilistic approach. Nodes belong to hidden clusters and the probabilities of interactions only depend on these clusters. Interactions of time varying intensity are not taken into account. By partitioning the whole time horizon, in which …