A new effective metric for dynamical robustness of directed networks

Jiashuo Sun; Linying Xiang; Guanrong Chen

doi:10.3389/fphy.2023.1129844

A new effective metric for dynamical robustness of directed networks

Jiashuo Sun, Linying Xiang^*, Guanrong Chen

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

4 Citations (Scopus)

37 Downloads (CityUHK Scholars)

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.

Original language	English
Article number	1129844
Journal	Frontiers in Physics
Volume	11
Online published	23 Jan 2023
DOIs	https://doi.org/10.3389/fphy.2023.1129844
Publication status	Published - 2023

Funding

This work was supported by the National Natural Science Foundation of China (No. 61973064), Natural Science Foundation of Hebei Province of China (No. F2022501024), Hebei Provincial Postgraduate Student Innovation Ability Training Funding Project (No. CXZZSS2023202), and Hong Kong Research Grants Council under the GRF Grant CityU11206320.

Research Keywords

complex network
directed network
dynamical robustness
noise
synchronization

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This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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10.3389/fphy.2023.1129844

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T1 - A new effective metric for dynamical robustness of directed networks

AU - Sun, Jiashuo

AU - Xiang, Linying

AU - Chen, Guanrong

PY - 2023

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AB - 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.

KW - complex network

KW - directed network

KW - dynamical robustness

KW - noise

KW - synchronization

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M3 - RGC 21 - Publication in refereed journal

SN - 2296-424X

VL - 11

JO - Frontiers in Physics

JF - Frontiers in Physics

M1 - 1129844

ER -

A new effective metric for dynamical robustness of directed networks

Abstract

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Research Keywords

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GRF: Analyzing the Robustness of Network Controllability against Malicious Attacks

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A new effective metric for dynamical robustness of directed networks

Abstract

Funding

Research Keywords

Publisher's Copyright Statement

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GRF: Analyzing the Robustness of Network Controllability against Malicious Attacks

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