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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 n...
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Published in: | Frontiers in physics 2023-06, Vol.11 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | 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. |
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ISSN: | 2296-424X 2296-424X |
DOI: | 10.3389/fphy.2023.1199180 |