The Role of Connection Density in an Adaptive Network with Chaotic Units

"We investigate the role of connection density in an adaptive network model of chaotic units that dynamically rewire based on their internal states and local coherence. By systematically varying the network's connectivity density, we uncover distinct dynamical regimes and structural transi...

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Autores principales: Plüss, Ramiro, Gleiser, Pablo Martín
Formato: Preprint
Lenguaje:Inglés
Publicado: Springer Nature 2025
Materias:
REDES ADAPTATIVAS, DENSIDAD DE CONEXIONES, DINÁMICA CAÓTICA, SINCRONIZACIÓN, SISTEMAS DINÁMICOS, REDES COMPLEJAS, MODELOS NEURONALES
Acceso en línea:https://hdl.handle.net/20.500.14769/5113
https://doi.org/10.48550/arXiv.2505.11437
Aporte de:
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
id I32-R138-20.500.14769-5113
record_format dspace
spelling I32-R138-20.500.14769-51132025-10-13T19:14:40Z The Role of Connection Density in an Adaptive Network with Chaotic Units Plüss, Ramiro Gleiser, Pablo Martín REDES ADAPTATIVAS, DENSIDAD DE CONEXIONES, DINÁMICA CAÓTICA, SINCRONIZACIÓN, SISTEMAS DINÁMICOS, REDES COMPLEJAS, MODELOS NEURONALES "We investigate the role of connection density in an adaptive network model of chaotic units that dynamically rewire based on their internal states and local coherence. By systematically varying the network's connectivity density, we uncover distinct dynamical regimes and structural transitions, revealing mechanisms of spontaneous modularity, dynamical segregation, and integration. We find that at higher densities, the network exhibits both local clustering and global synchrony. Additionally, we observe that low-density networks tend to fragment into desynchronized clusters, while high-density networks converge to synchronized states combining strong global integration with persistent modular segregation. Inspired by neural architectures, our model provides a general framework for understanding how simple microscopic rules can give rise to complex emergent behaviors in dynamical networks." 2025-10-13T19:14:39Z 2025-10-13T19:14:39Z 2025-08 Preprint https://hdl.handle.net/20.500.14769/5113 https://doi.org/10.48550/arXiv.2505.11437 en Communications in Computer and Information Science (CCIS) application/pdf Springer Nature
institution Instituto Tecnológico de Buenos Aires (ITBA)
institution_str I-32
repository_str R-138
collection Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA)
language Inglés
topic REDES ADAPTATIVAS, DENSIDAD DE CONEXIONES, DINÁMICA CAÓTICA, SINCRONIZACIÓN, SISTEMAS DINÁMICOS, REDES COMPLEJAS, MODELOS NEURONALES
spellingShingle REDES ADAPTATIVAS, DENSIDAD DE CONEXIONES, DINÁMICA CAÓTICA, SINCRONIZACIÓN, SISTEMAS DINÁMICOS, REDES COMPLEJAS, MODELOS NEURONALES
Plüss, Ramiro
Gleiser, Pablo Martín
The Role of Connection Density in an Adaptive Network with Chaotic Units
topic_facet REDES ADAPTATIVAS, DENSIDAD DE CONEXIONES, DINÁMICA CAÓTICA, SINCRONIZACIÓN, SISTEMAS DINÁMICOS, REDES COMPLEJAS, MODELOS NEURONALES
description "We investigate the role of connection density in an adaptive network model of chaotic units that dynamically rewire based on their internal states and local coherence. By systematically varying the network's connectivity density, we uncover distinct dynamical regimes and structural transitions, revealing mechanisms of spontaneous modularity, dynamical segregation, and integration. We find that at higher densities, the network exhibits both local clustering and global synchrony. Additionally, we observe that low-density networks tend to fragment into desynchronized clusters, while high-density networks converge to synchronized states combining strong global integration with persistent modular segregation. Inspired by neural architectures, our model provides a general framework for understanding how simple microscopic rules can give rise to complex emergent behaviors in dynamical networks."
format Preprint
author Plüss, Ramiro
Gleiser, Pablo Martín
author_facet Plüss, Ramiro
Gleiser, Pablo Martín
author_sort Plüss, Ramiro
title The Role of Connection Density in an Adaptive Network with Chaotic Units
title_short The Role of Connection Density in an Adaptive Network with Chaotic Units
title_full The Role of Connection Density in an Adaptive Network with Chaotic Units
title_fullStr The Role of Connection Density in an Adaptive Network with Chaotic Units
title_full_unstemmed The Role of Connection Density in an Adaptive Network with Chaotic Units
title_sort role of connection density in an adaptive network with chaotic units
publisher Springer Nature
publishDate 2025
url https://hdl.handle.net/20.500.14769/5113
https://doi.org/10.48550/arXiv.2505.11437
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