Tools to characterize the correlated nature of collective dynamics
Entidad
UAM. Departamento de Ingeniería InformáticaEditor
Complex Systems Publications, IncFecha de edición
2021-01-01Cita
10.25088/ComplexSystems.30.1.1
R. Vilela Mendes and C. Aguirre, “Tools to Characterize the Correlated Nature of Collective Dynamics,” Complex Systems, 30(1), 2021 pp. 1–32
ISSN
0891-2513DOI
10.25088/ComplexSystems.30.1.1Versión del editor
https://doi.org/10.25088/ComplexSystems.30.1.1Materias
Chaotic dynamics; Complex patterns; Correlation; Synchronization; InformáticaDerechos
© 2021 Complex SystemsResumen
Synchronization, which occurs for both chaotic and nonchaotic sys-tems, is a striking phenomenon with many practical implications for natural phenomena and technological applications. However, even before synchronization, strong correlations and complex patterns occur in the collective dynamics of natural systems. To characterize their nature is essential for understanding many phenomena in physical and social sciences as well as the perspectives to control their behavior. Because simple correlation measures are unable to characterize these collective patterns, we have developed more general methods for their detection and parametrization. The emergence of patterns of strong correlations before synchronization is illustrated in a few models. They are shown to be associated with the behavior of ergodic parameters. The models are then used as a testing ground of the new pattern characteri-zation tools
Lista de ficheros
Google Scholar:Vilela Mendes, R.
-
Aguirre, Carlos
Lista de colecciones del ítem
Registros relacionados
Mostrando ítems relacionados por título, autor, creador y materia.
-
Static and dynamic properties of small-world connection topologies based on transit-stub networks
Aguirre, Carlos; Corbacho Abelaira, Fernando; Huerta, Ramón
2003