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Reconstructing effective phase connectivity of oscillator networks from observations
by
Kralemann, Björn
, Pikovsky, Arkady
, Rosenblum, Michael
in
05.45.Tp
/ 05.45.Xt
/ Connectivity
/ coupled oscillators
/ data analysis
/ Dynamics
/ Equivalence
/ Joining
/ Joints
/ Multivariate analysis
/ network reconstruction
/ Networks
/ Oscillators
/ Physics
/ Reconstruction
/ Time series
2014
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Reconstructing effective phase connectivity of oscillator networks from observations
by
Kralemann, Björn
, Pikovsky, Arkady
, Rosenblum, Michael
in
05.45.Tp
/ 05.45.Xt
/ Connectivity
/ coupled oscillators
/ data analysis
/ Dynamics
/ Equivalence
/ Joining
/ Joints
/ Multivariate analysis
/ network reconstruction
/ Networks
/ Oscillators
/ Physics
/ Reconstruction
/ Time series
2014
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Do you wish to request the book?
Reconstructing effective phase connectivity of oscillator networks from observations
by
Kralemann, Björn
, Pikovsky, Arkady
, Rosenblum, Michael
in
05.45.Tp
/ 05.45.Xt
/ Connectivity
/ coupled oscillators
/ data analysis
/ Dynamics
/ Equivalence
/ Joining
/ Joints
/ Multivariate analysis
/ network reconstruction
/ Networks
/ Oscillators
/ Physics
/ Reconstruction
/ Time series
2014
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Reconstructing effective phase connectivity of oscillator networks from observations
Journal Article
Reconstructing effective phase connectivity of oscillator networks from observations
2014
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Overview
We present a novel approach for recovery of the directional connectivity of a small oscillator network by means of the phase dynamics reconstruction from multivariate time series data. The main idea is to use a triplet analysis instead of the traditional pairwise one. Our technique reveals an effective phase connectivity which is generally not equivalent to a structural one. We demonstrate that by comparing the coupling functions from all possible triplets of oscillators, we are able to achieve in the reconstruction a good separation between existing and non-existing connections, and thus reliably reproduce the network structure.
Publisher
IOP Publishing
Subject
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