Network dynamics reconstruction from data
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Date
2020
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Scıentıfıc Technıcal Research Councıl Turkey-Tubıtak
Abstract
We consider the problem of recovering the model of a complex network of interacting dynamical units from time series of observations. We focus on typical networks which exhibit heterogeneous degrees, i.e. where the number of connections varies widely across the network, and the coupling strength for a single interaction is small. In these networks, the behavior of each unit varies according to their connectivity. Under these mild assumptions, our method provides an effective network reconstruction of the network dynamics. The method is robust to a certain size of noise and only requires relatively short time series on the state variable of most nodes to determine: how well-connected a particular node is, the distribution of the nodes' degrees in the network, and the underlying dynamics.
Description
Keywords
Dynamical systems, Complex networks
Turkish CoHE Thesis Center URL
Citation
0
WoS Q
N/A
Scopus Q
Q3
Source
Volume
44
Issue
4
Start Page
394
End Page
403