Particle interactions mediated by dynamical networks: assessment of macroscopic descriptions

Abstract

We provide a numerical study of the macroscopic model of [3] derived from an agent-based model for a system of particles interacting through a dynamical network of links. Assuming that the network remodelling process is very fast, the macroscopic model takes the form of a single aggregation diffusion equation for the density of particles. The theoretical study of the macroscopic model gives precise criteria for the phase transitions of the steady states, and in the 1-dimensional case, we show numerically that the stationary solutions of the microscopic model undergo the same phase transitions and bifurcation types as the macroscopic model. In the 2-dimensional case, we show that the numerical simulations of the macroscopic model are in excellent agreement with the predicted theoretical values. This study provides a partial validation of the formal derivation of the macroscopic model from a microscopic formulation and shows that the former is a consistent approximation of an underlying particle dynamics, making it a powerful tool for the modelling of dynamical networks at a large scale.

References in corpus (4)

• Existence of Ground States of Nonlocal-Interaction Energies
• Filamin cross-linked semiflexible networks: Fragility under strain
• Phase transition and diffusion among socially interacting self-propelled agents
• Kinetic theory of particle interactions mediated by dynamical networks

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