Dynamics of networks is a research area focused on the temporal evolution of networked systems, examining how node and edge states and topologies change over time and how these changes influence collective behavior. It integrates concepts from nonlinear dynamics, statistical physics, control theory, and graph theory to study processes such as synchronization, spreading phenomena, adaptive rewiring, and coevolution of structure and function. Researchers analyze stability, phase transitions, attractors, and transient behaviors in networks ranging from biological and neural systems to technological and social infrastructures, often using differential equations, stochastic processes, and computational simulations to characterize dynamical regimes and emergent phenomena.
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