title: Reconstructing the topology of sparsely connected dynamical networks.
abstract: Given a general physical network and measurements of node dynamics, methods are proposed for reconstructing the network topology. We focus on networks whose connections are sparse and where data are limited. Under these conditions, common in many biological networks, constrained optimization techniques based on the L1 vector norm are found to be superior for inference of the network connections.
authors: Department of Mathematical Sciences, George Mason University, Fairfax, Virginia 22030, USA.
authors: Domenico
authors: D
authors: Napoletani
authors: Timothy D
authors: TD
authors: Sauer