and in this paper , we propose a new methodology
This methodology captures within and between connections across layers
Tensors are objects that naturally represent multilayer networks and in this paper , we propose a new methodology based on Tucker tensor autoregression in order to build a multilayer network directly from data .
This methodology captures within and between connections across layers and makes use of a filtering procedure to extract relevant information and improve visualization .