Reconstructing the structure of directed and weighted networks of nonlinear oscillators.

Alderisio, Francesco; Fiore, Gianfranco; di Bernardo, Mario · Phys Rev E · 2017

basic_science · Level V

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Abstract

The formalism of complex networks is extensively employed to describe the dynamics of interacting agents in several applications. The features of the connections among the nodes in a network are not always provided beforehand, hence the problem of appropriately inferring them often arises. Here, we present a method to reconstruct directed and weighted topologies of networks of heterogeneous nonlinear oscillators. We illustrate the theory on a set of representative examples.