In many applications, it is of interest to derive information about the topology and the internal
connections of multiple dynamical systems interacting together. Examples can be found in
fields as diverse as Economics, Neuroscience and Biochemistry. The paper deals with the
problem of deriving a descriptive model of a network with no a-priori knowledge on its
topology. It is assumed that the network nodes are passively observed and data are
collected in the form of time series. The underlying structure is then determined by the non�…