Spectral Sensitivity of Directed Weighted Networks: Why Weakening Edges May Trigger Synchronization

TL;DR

This paper reveals that weakening certain edges in directed weighted networks can increase spectral connectivity and promote synchronization, supported by a spectral sensitivity framework and algorithms tested on various networks.

Contribution

It introduces a perturbation-based spectral sensitivity framework and algorithms for edge modification that enhance synchronization in directed weighted networks.

Findings

Weakening edges can increase algebraic connectivity and induce synchronization.

The spectral sensitivity formula decomposes into directed cut-energy and redistribution terms.

Algorithms based on this theory effectively identify critical edges for network synchronization.

Abstract

Synchronization in dynamical systems on directed weighted networks is often associated with stronger coupling and denser interactions. This paper shows that the opposite can also occur: weakening selected edges may increase the generalized algebraic connectivity, denoted by $\kappa$, and in some nonlinear systems this spectral improvement is accompanied by a transition from nonsynchronization to synchronization. To explain this effect, we develop a perturbation-based spectral sensitivity framework for directed weighted networks. We derive an explicit first-order formula for the response of $\kappa$ to edge-weight perturbations and show that it decomposes into a directed cut-energy term and a stationary redistribution term. This decomposition clarifies how asymmetric flow structure and invariant-mass redistribution jointly determine the synchronization role of each edge. Based on this theory, we design sensitivity-guided algorithms for edge weakening, edge deletion, negative-edge insertion, and edge strengthening. Experiments on synthetic and real networks show that these methods identify critical edges whose modification yields substantial gains in $\kappa$. Simulations of first- and second-order nonlinear consensus dynamics further show markedly faster convergence and, in some cases, a transition from incoherence to synchronization. The results provide a local spectral mechanism by which reducing or reallocating coupling can enhance synchronization-related performance.