Network science has shown that characterizing the stucture of a complex system is fundamental when it comes to understanding its dynamical properties 1,2,3. In particular, the basic units of most real ...
Empirical complex systems can be characterized not only by pairwise interactions, but also by higher-order (group) interactions influencing collective phenomena, from metabolic reactions to epidemics.
In recent years, network and complexity science has seen a massive surge in models using hypergraphs and simplicial complexes to represent higher-order ...
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