Speakers
Description
Understanding how the structure of a network constrains and drives its dynamics is a central challenge in complex biological systems. While network topology is known to influence phenomena such as multistability, robustness, synchronization, and spreading behavior, the precise mechanisms linking structure to dynamics remain only partially understood. Many real world networks display hallmark properties of complex systems such as feedback loops, modularity, and nonlinear interactions that make it difficult to predict dynamical outcomes from connectivity alone.
This minisymposium showcases recent advances aimed at closing this gap. The talks highlight new mathematical and computational approaches that reveal how patterns of interaction shape collective behavior in biological, social, and engineered networks. By integrating theoretical insights with application driven examples, the session seeks to illuminate unifying principles that govern the structure–dynamics relationship and to inspire future work in this rapidly developing area.
