A Multilayered Block Network Model to Forecast Large Dynamic Transportation Graphs: an Application to US Air Transport

no code implementations • 29 Nov 2019 • Hector Rodriguez-Deniz, Mattias Villani, Augusto Voltes-Dorta

Dynamic transportation networks have been analyzed for years by means of static graph-based indicators in order to study the temporal evolution of relevant network components, and to reveal complex dependencies that would not be easily detected by a direct inspection of the data.

Bayesian Inference Data Augmentation +3