Higher-order network modelling

Higher-order networks — including hypergraphs, simplicial complexes, and networks with triadic interactions — encode the group interactions present in real-world complex systems. While percolation has been well studied on pairwise networks, little was known about how higher-order interactions affect critical phenomena. My work addresses this from several complementary angles.

Percolation on higher-order structures

On pseudofractal simplicial and cell complexes, I showed that percolation displays two distinct critical thresholds and an unusual critical exponent, in contrast to standard percolation on dyadic networks.

I introduced multiplex hypergraphs as a general framework to study percolation on higher-order structures, characterising how hyperedge organisation such as hyperedge correlation affects critical behaviour.

Networks with triadic interactions

I proposed a novel higher-order network model called networks with triadic interactions and developed a percolation theory on these structures, showing that triadic regulation can turn percolation into a fully dynamical process displaying periodic oscillations and chaos. I further extended this framework to spatial networks, random hypergraphs, and multilayer networks, and explored its implications for neuronal dynamics.

Hanlin Sun
Hanlin Sun
Wallenberg Initiative on Networks and Quantum Information (WINQ) Research Fellow