Synchrony Patterns in Coupled Network Dynamics

MS8. Applications of nonlinear dynamical systems to physical and social systems: theoretical, numerical and data driven approaches Organizer: Antonio Edimar de Melo Junior, Yuri Dumaresq Sobral

Nonlinear dynamical systems offer a powerful framework for modeling and understanding the rich, often counterintuitive behaviors observed in natural, technological, and even social systems. This thematic session brings together diverse yet deeply interconnected topics that highlight the role of nonlinearity in shaping the evolution of systems ranging from physical interactions to networked structures and interpersonal dynamics. Beyond well established analytical and numerical methods, works engaging in the new algorithms that generate data driven models of nonlinear systems are also of interest in this thematic session. In particular, the papers presented in this session aim to discuss the formalism of coupled cell networks, the stability of interacting system of particles, where the interactions can be of short or long range, as well as and nonlinear models of romantic relationships motivated by the attachment theory of the psychology of couples and other psychological or sociological theories.

Recommended citation: MELO, Antonio. Synchrony Patterns in Coupled Network Dynamics. International Conference on Nonlinear Science and Complexity, UNESP, Rio Claro-SP. (2025).
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