Detecting Directed Interactions of Networks by Random Variable Resetting
Data Analysis, Statistics and Probability
2018-11-14 v1 Adaptation and Self-Organizing Systems
Abstract
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.
Cite
@article{arxiv.1810.04471,
title = {Detecting Directed Interactions of Networks by Random Variable Resetting},
author = {Rundong Shi and Changbao Deng and Shihong Wang},
journal= {arXiv preprint arXiv:1810.04471},
year = {2018}
}