Across biological and social complex systems, models of epidemics or contagions incorporate complexity through network correlations, adaptive behavior, higher-order interactions, or co-circulating strains. Tracking these mechanisms lead to high-dimensional mathematical systems that resist analytical treatment. We show...
Laurent Hébert-Dufresne, P'eter L. Simon, István Z. Kiss· 0 citations
A bottom-up derivation of higher-order SIS dynamics, building systematically from node-level equations to pairs, triplets, and three-body interactions and provides a principled method of generating new models.
Kevin Teo, Péter L. Simon, I. Z. Kiss· 0 citations
A mathematically principled framework for deriving edge-based mean-field approximations for a broad class of Markov processes on networks using approximate lumping is presented, which yields density-dependent population processes that reduce to a low-dimensional system of ordinary differential equations.
G. Timár, Jonathan A. Ward, Péter L. Simon· 0 citations
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