Numerical Modeling of Flocking Dynamics with Topological Interactions

In this paper, we propose a numerical investigation of topological interactions in flocking dynamics. Starting from a microscopic description of the phenomena, mesoscopic and macroscopic models have been previously derived under specific assumptions. We explore the role of topological interactions by describing the convergence speed to consensus in both microscopic and macroscopic dynamics, considering different forms of topological interactions. Additionally, we compare mesoscopic and macroscopic dynamics for monokinetic and non-monokinetic initial data. Finally, we illustrate with some simulations in one- and two-dimensional domains the sensitive dependence of solutions on initial conditions, including the case where the system exhibits two solutions starting with the same initial data.

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Publication Details

Journal
Communications in Computational Physics
Published
2025-11-07
DOI
https://doi.org/10.4208/cicp.oa-2025-0078
Primary Topic
Opinion Dynamics and Social Influence
Type
article
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article

Numerical Modeling of Flocking Dynamics with Topological Interactions

Thierry Paul, Stefano Rossi, Marta Menci, Tommaso Tenna
Communications in Computational Physics
Opinion Dynamics and Social Influence
article

Numerical Modeling of Flocking Dynamics with Topological Interactions

Thierry Paul, Stefano Rossi, Marta Menci, Tommaso Tenna
article en

Abstract

In this paper, we propose a numerical investigation of topological interactions in flocking dynamics. Starting from a microscopic description of the phenomena, mesoscopic and macroscopic models have been previously derived under specific assumptions. We explore the role of topological interactions by describing the convergence speed to consensus in both microscopic and macroscopic dynamics, considering different forms of topological interactions. Additionally, we compare mesoscopic and macroscopic dynamics for monokinetic and non-monokinetic initial data. Finally, we illustrate with some simulations in one- and two-dimensional domains the sensitive dependence of solutions on initial conditions, including the case where the system exhibits two solutions starting with the same initial data.

Communications in Computational PhysicsVol. 39(1)
Università Campus Bio-Medico (IT), Université Côte d'Azur (FR), Istituto Nazionale di Alta Matematica Francesco Severi (IT), ETH Zurich (CH), Laboratoire Jean-Alexandre Dieudonné (FR), Observatoire de la Côte d’Azur (FR), Laboratoire de Mathématiques Blaise Pascal (FR), Sapienza University of Rome (IT)
Openalex Percentile: Top 78%
Opinion Dynamics and Social Influence
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