Comment on "Synchronization dynamics in non-normal networks: the trade-off for optimality"
Francesco Sorrentino, Chad Nathe

TL;DR
This paper reviews recent research on how non-normal network structures influence synchronization, showing that non-normality often reduces the basin of attraction for synchronized states, which impacts network stability.
Contribution
It provides numerical evidence that non-normal Laplacian matrices tend to decrease the basin of attraction for synchronization compared to normal matrices.
Findings
Non-normal networks have smaller basins of attraction for synchronization.
Numerical evidence supports the impact of non-normality on synchronization stability.
Review of recent literature on non-normal network effects.
Abstract
We review some of the recent literature, including Refs. [1-3], on the effects of non-normality on the synchronization of networks of oscillators, and provide numerical evidence that the basin of attraction about the synchronous solution is typically smaller for networks with non-normal Laplacian matrix, compared to networks with a normal Laplacian matrix.
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Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · Neural Networks Stability and Synchronization · Opinion Dynamics and Social Influence
