First-order network coherence in 5-rose graphs

Xiaoqian Wang, Huiling Xu and Meifeng Dai

Physica A: Statistical Mechanics and its Applications, 2019, vol. 527, issue C

Abstract: We consider first-order network coherence in 5-rose graphs with stochastic disturbances. Our analysis for first-order systems is facilitated by connections between first-order network coherence and the sum of reciprocals of all nonzero Laplacian eigenvalues. Our analysis reveals that 5-rose networks with small size have high network coherence and can be considered to be more robust to noise than networks with low coherence. The method used in this paper is practical and easy to handle.

Keywords: 5-rose graphs; Laplacian spectra; First-order network coherence (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:527:y:2019:i:c:s0378437119306855

DOI: 10.1016/j.physa.2019.121129

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