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Revealing Network Connectivity from Response Dynamics

Marc Timme
Phys. Rev. Lett. 98, 224101 – Published 30 May 2007

Abstract

We present a method to infer the complete connectivity of a network from its stable response dynamics. As a paradigmatic example, we consider networks of coupled phase oscillators and explicitly study their long-term stationary response to temporally constant driving. For a given driving condition, measuring the phase differences and the collective frequency reveals information about how the units are interconnected. Sufficiently many repetitions for different driving conditions yield the entire network connectivity (the absence or presence of each connection) from measuring the response dynamics only. For sparsely connected networks, we obtain good predictions of the actual connectivity even for formally underdetermined problems.

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  • Received 18 August 2006

DOI:https://doi.org/10.1103/PhysRevLett.98.224101

This article is available under the terms of the Creative Commons Attribution 3.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.

Authors & Affiliations

Marc Timme

  • Network Dynamics Group, Max Planck Institute for Dynamics and Self-Organization, and Bernstein Center for Computational Neuroscience, Bunsenstrasse 10, 37073 Göttingen, Germany
  • Center for Applied Mathematics, Theoretical and Applied Mechanics, Kimball Hall, Cornell University, Ithaca, New York 14853, USA

Article Text

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References

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Issue

Vol. 98, Iss. 22 — 1 June 2007

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