Revealing physical interaction networks from statistics of collective dynamics

  title={Revealing physical interaction networks from statistics of collective dynamics},
  author={Mor Nitzan and Jose Casadiego and Marc Timme},
  booktitle={Science Advances},
Revealing physical interactions in complex systems from observed collective dynamics constitutes a fundamental inverse problem in science. Current reconstruction methods require access to a system’s model or dynamical data at a level of detail often not available. We exploit changes in invariant measures, in particular distributions of sampled states of the system in response to driving signals, and use compressed sensing to reveal physical interaction networks. Dynamical observations following… CONTINUE READING
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  • I. Tomovski, L. Kocarev
  • Phys. A 436,
  • 2015

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  • M. Timme
  • PLOS Comput . Biol .
  • 2015

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  • P. J. Choi, G.-W. Li, +5 authors E. Quantifying
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  • M. Grant, S. Boyd
  • 2014
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