11 citations · 14 across the 4 of their papers we have counts for
4 papers
Block modelling in dynamic networks with non-homogeneous Poisson processes and exact ICL
Marco Corneli, Pierre Latouche, Fabrice Rossi
We develop a model in which interactions between nodes of a dynamic network are counted by non homogeneous Poisson processes. In a block modelling perspective, nodes belong to hidd…
Choosing the number of groups in a latent stochastic block model for dynamic networks
Riccardo Rastelli, Pierre Latouche, Nial Friel
Latent stochastic block models are flexible statistical models that are widely used in social network analysis. In recent years, efforts have been made to extend these models to te…
Graphs in machine learning: an introduction
Pierre Latouche, Fabrice Rossi
Graphs are commonly used to characterise interactions between objects of interest. Because they are based on a straightforward formalism, they are used in many scientific fields fr…
Exact ICL maximization in a non-stationary time extension of the latent block model for dynamic networks
Marco Corneli, Pierre Latouche, Fabrice Rossi
The latent block model (LBM) is a flexible probabilistic tool to describe interactions between node sets in bipartite networks, but it does not account for interactions of time var…