Abstract

We introduce the concept of network susceptibilities quantifying the response of the collective dynamics of a network to small parameter changes. We distinguish two types of susceptibilities: vertex susceptibilities and edge susceptibilities, measuring the responses due to changes in the properties of units and their interactions, respectively. We derive explicit forms of network susceptibilities for oscillator networks close to steady states and offer example applications for Kuramoto-type phase-oscillator models, power grid models, and generic flow models. Focusing on the role of the network topology implies that these ideas can be easily generalized to other types of networks, in particular those characterizing flow, transport, or spreading phenomena. The concept of network susceptibilities is broadly applicable and may straightforwardly be transferred to all settings where networks responses of the collective dynamics to topological changes are essential.

Highlights

  • INTRODUCTIONSusceptibility constitutes a key concept in physics, from statistical mechanics to condensed matter theory and experiments

  • We introduce the concept of network susceptibilities quantifying the response of the collective dynamics of a network to small parameter changes

  • Susceptibility constitutes a key concept in physics, from statistical mechanics to condensed matter theory and experiments

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Summary

INTRODUCTION

Susceptibility constitutes a key concept in physics, from statistical mechanics to condensed matter theory and experiments. While ideal solids are organized in the form of perfectly periodic crystals with, e.g., nearest-neighbor interactions, many natural and engineered complex systems are organized in networks with a rich variety of their underlying interaction topologies [1,2] The susceptibility of such a networked system, i.e., its response to changes in their parameters, is essentially determined by their topology. As a key class of network dynamics, we analyze the susceptibilities of oscillator networks describing the dynamics of various natural and manmade systems We define both vertex susceptibilities and edge susceptibilities to qualitatively and quantitatively distinguish the responses to changes of single-unit and single-interaction properties, respectively.

NETWORK SUSCEPTIBILITIES
DYNAMICS OF OSCILLATOR NETWORKS
LINEAR RESPONSE THEORY AND NETWORK SUSCEPTIBILITIES
Perturbation at a single edge
Edge susceptibilities
Perturbation at a single vertex
Vertex susceptibilities
Properties of the matrix A
Scaling properties of network susceptibilities
The weakly connected limit
The relation to centralities
Relation to resistance distances
Scaling with distance
Explaining the vulnerability of dead ends
From small to large changes
Identification of critical edges
Findings
VIII. CONCLUSION AND OUTLOOK

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