Frontiers in Physics (Jun 2023)

Robustness of consensus in m-rose networks

  • Weiwei Du,
  • Jian Zhu,
  • Haiping Gao,
  • Xianyong Li

DOI
https://doi.org/10.3389/fphy.2023.1199180
Journal volume & issue
Vol. 11

Abstract

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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.

Keywords