A new effective metric for dynamical robustness of directed networks
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
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Detail(s)
| Original language | English |
|---|---|
| Article number | 1129844 |
| Journal / Publication | Frontiers in Physics |
| Volume | 11 |
| Online published | 23 Jan 2023 |
| Publication status | Published - 2023 |
Link(s)
| DOI | DOI |
|---|---|
| Attachment(s) | Documents
Publisher's Copyright Statement
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| Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85147435498&origin=recordpage |
| Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(44a2a775-cb64-4a35-bfb3-2e7144cc5ebf).html |
Abstract
In this article, dynamical robustness of a directed complex network with additive noise is inverstigated. The failure of a node in the network is modeled by injecting noise into the node. Under the framework of mean-square stochastic stability, a new robustness metric is formulated to characterize the robustness of the network in terms of synchronization to the additive noise. It is found that the node dynamics plays a pivotal role in dynamical robustness of the directed network. Numerical simulations are shown for illustration and verification. Copyright © 2023 Sun, Xiang and Chen.
Research Area(s)
- complex network, directed network, dynamical robustness, noise, synchronization
Citation Format(s)
A new effective metric for dynamical robustness of directed networks. / Sun, Jiashuo; Xiang, Linying; Chen, Guanrong.
In: Frontiers in Physics, Vol. 11, 1129844, 2023.
In: Frontiers in Physics, Vol. 11, 1129844, 2023.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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