191 citations · 529 across the 6 of their papers we have counts for
6 papers
Detecting Hidden Units and Network Size from Perceptible Dynamics
Hauke Haehne, Jose Casadiego, Joachim Peinke +1
The number of units of a network dynamical system, its size, arguably constitutes its most fundamental property. Many units of a network, however, are typically experimentally inac…
Inferring network connectivity from event timing patterns
Jose Casadiego, Dimitra Maoutsa, Marc Timme
Reconstructing network connectivity from the collective dynamics of a system typically requires access to its complete continuous-time evolution although these are often experiment…
Model-free inference of direct network interactions from nonlinear collective dynamics
Jose Casadiego, Mor Nitzan, Sarah Hallerberg +1
The topology of interactions in network dynamical systems fundamentally underlies their function. Accelerating technological progress creates massively available data about collect…
Revealing physical interaction networks from statistics of collective dynamics
Mor Nitzan, Jose Casadiego, Marc Timme
Revealing physical interactions in complex systems from observed collective dynamics constitutes a fundamental inverse problem in science. Current reconstruction methods require ac…
From State Estimation to Network Reconstruction
Farnaz Basiri, Jose Casadiego, Marc Timme +1
We develop methods to efficiently reconstruct the topology and line parameters of a power grid from the measurement of nodal variables. We propose two compressed sensing algorithms…
Revealing networks from dynamics: an introduction
Marc Timme, Jose Casadiego
What can we learn from the collective dynamics of a complex network about its interaction topology? Taking the perspective from nonlinear dynamics, we briefly review recent progres…