Robustness of consensus in m-rose networks

The consensus of deterministic networks investigates the relationships between consensus and network topology, which can be measured by network coherence. The m-rose networks are composed of m circles, which share a common node. Recently, scholars have obtained the first-order coherence of 5-rose ne...

Full description

Bibliographic Details
Main Authors: Weiwei Du, Jian Zhu, Haiping Gao, Xianyong Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Physics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fphy.2023.1199180/full
_version_ 1797810574624555008
author Weiwei Du
Jian Zhu
Haiping Gao
Xianyong Li
author_facet Weiwei Du
Jian Zhu
Haiping Gao
Xianyong Li
author_sort Weiwei Du
collection DOAJ
description The consensus of deterministic networks investigates the relationships between consensus and network topology, which can be measured by network coherence. The m-rose networks are composed of m circles, which share a common node. Recently, scholars have obtained the first-order coherence of 5-rose networks. This paper takes the more general m-rose networks as the research object, firstly, the m-rose networks are introduced. Secondly, the relationships between Laplacian eigenvalues and polynomial coefficients are used to obtain the first-order and second-order coherence of the m-rose networks. Finally, the effects of topology parameters such as the number of petals m and the length of a cycle n on the robustness of network consensus are discussed, and the validity of the conclusion is verified by numerical simulation.
first_indexed 2024-03-13T07:09:43Z
format Article
id doaj.art-7a95fc9c5f03487f9664ff0e5fc55357
institution Directory Open Access Journal
issn 2296-424X
language English
last_indexed 2024-03-13T07:09:43Z
publishDate 2023-06-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Physics
spelling doaj.art-7a95fc9c5f03487f9664ff0e5fc553572023-06-06T04:34:46ZengFrontiers Media S.A.Frontiers in Physics2296-424X2023-06-011110.3389/fphy.2023.11991801199180Robustness of consensus in m-rose networksWeiwei Du0Jian Zhu1Haiping Gao2Xianyong Li3Research Center for Vocational and Technical Education, Xinjiang Institute of Engineering, Urumqi, Xinjiang, ChinaDepartment of Mathematics and Physics, Xinjiang Institute of Engineering, Urumqi, Xinjiang, ChinaDepartment of Basic Science, Xinjiang Institute of Light Industry Technology, Urumqi, Xinjiang, ChinaDepartment of Computer and Software Engineering, Xihua University, Chengdu, Sichuan, ChinaThe consensus of deterministic networks investigates the relationships between consensus and network topology, which can be measured by network coherence. The m-rose networks are composed of m circles, which share a common node. Recently, scholars have obtained the first-order coherence of 5-rose networks. This paper takes the more general m-rose networks as the research object, firstly, the m-rose networks are introduced. Secondly, the relationships between Laplacian eigenvalues and polynomial coefficients are used to obtain the first-order and second-order coherence of the m-rose networks. Finally, the effects of topology parameters such as the number of petals m and the length of a cycle n on the robustness of network consensus are discussed, and the validity of the conclusion is verified by numerical simulation.https://www.frontiersin.org/articles/10.3389/fphy.2023.1199180/fullm-rosecoherenceLaplacian eigenvaluesconsensusrobustness
spellingShingle Weiwei Du
Jian Zhu
Haiping Gao
Xianyong Li
Robustness of consensus in m-rose networks
Frontiers in Physics
m-rose
coherence
Laplacian eigenvalues
consensus
robustness
title Robustness of consensus in m-rose networks
title_full Robustness of consensus in m-rose networks
title_fullStr Robustness of consensus in m-rose networks
title_full_unstemmed Robustness of consensus in m-rose networks
title_short Robustness of consensus in m-rose networks
title_sort robustness of consensus in m rose networks
topic m-rose
coherence
Laplacian eigenvalues
consensus
robustness
url https://www.frontiersin.org/articles/10.3389/fphy.2023.1199180/full
work_keys_str_mv AT weiweidu robustnessofconsensusinmrosenetworks
AT jianzhu robustnessofconsensusinmrosenetworks
AT haipinggao robustnessofconsensusinmrosenetworks
AT xianyongli robustnessofconsensusinmrosenetworks