Volume 124, Number 1, October 2018
|Number of page(s)||6|
|Section||Interdisciplinary Physics and Related Areas of Science and Technology|
|Published online||05 November 2018|
Detecting directed interactions of networks by random variable resetting
School of Sciences, Beijing University of Posts and Telecommunications - Beijing 100876, China
Received: 29 June 2018
Accepted: 1 October 2018
We propose a novel method of detecting directed interactions of a general dynamic network from measured data. By repeating random state variable resetting of a target node and appropriately averaging over the measurable data, the pairwise coupling function between the target and the response nodes can be inferred. This method is applicable to a wide class of networks with nonlinear dynamics, hidden variables and strong noise. The numerical results have fully verified the validity of the theoretical derivation.
PACS: 89.75.Hc – Networks and genealogical trees / 05.10.Gg – Stochastic analysis methods (Fokker-Planck, Langevin, etc.) / 05.45.Tp – Time series analysis
© EPLA, 2018
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