Reconstructing the topology of sparsely connected dynamical networks.

Phys Rev E Stat Nonlin Soft Matter Phys

Department of Mathematical Sciences, George Mason University, Fairfax, Virginia 22030, USA.

Published: February 2008

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.

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http://dx.doi.org/10.1103/PhysRevE.77.026103DOI Listing

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