A paramount research challenge in network and complex systems science is to understand
the dissemination of diseases, information and behaviour. The COVID-19 pandemic and the …

Hypergraphs have emerged as a powerful modeling framework to represent systems with
multiway interactions, that is systems where interactions may involve an arbitrary number of …

Animal communication is frequently studied with conventional network representations that
link pairs of individuals who interact, for example, through vocalization. However, acoustic …

Simplicial complexes are generalizations of classical graphs. Their homology groups are
widely used to characterize the structure and the topology of data in eg chemistry …

We consider a random geometric hypergraph model based on an underlying bipartite graph.
Nodes and hyperedges are sampled uniformly in a domain, and a node is assigned to those …

Netzwerke werden in einer Vielzahl von Bereichen für die Analyse komplexer Systeme
verwendet. In ihrer einfachsten Form repräsentieren Netzwerke die Komponenten eines …