Hosted by The International Conference on Statistical Physics SigmaPhi 2026, the Workshop Higher-order structures, synchronization, and emergent behavior in physical, biological, and social networks aims to provide a platform for discussing different aspects of research on the higher-order network’s geometry, nonlinear processes on it, and the characterization of emergent collective dynamics.
Higher-order structures that enable geometry-embedded interactions are increasingly recognized as a key element governing complex processes giving rise to emergent properties at larger scales. Examples are studied across scales, from complex materials, brain functional features, including recognition of pathways to disorders, to emergent social phenomena. Their true role can be assessed within the theoretical concept that bridges the interactions among entities with emergent behaviors, as described by the appropriate collective dynamics.
In this context, the physics of self-organized criticality, synchronization patterns on complex geometries, and physics-informed ML are indispensable.
Topics
include:
• Brain networks
• Synchronization on networks and simplicial complexes
• Complex materials and spin networks
• Self-organized criticality
• Q-analysis
PROGRAM ORGANIZERS: Miroslav Andjelkovic, Neelima Gupte, Bosiljka Tadic
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