Leveraging hypergraph structures to model advanced processes has gained much attention
over the last few years in many areas, ranging from protein-interaction in computational …

Many processes, from gene interaction in biology to computer networks to social media, can
be modeled more precisely as temporal hypergraphs than by regular graphs. This is …

Real-world complex networks are usually being modeled as graphs. The concept of graphs
assumes that the relations within the network are binary (for instance, between pairs of …

What kind of macroscopic structural and dynamical patterns can we observe in real-world
hypergraphs? What can be underlying local dynamics on individuals, which ultimately lead …

Parallel Aggregated Ordered Hypergraph (PAOH) is a novel technique to visualize dynamic
hypergraphs. Hypergraphs are a generalization of graphs where edges can connect several …

Graphs are widely used for representing pairwise interactions in complex systems. Since
such real-world graphs are large and often evergrowing, sampling a small representative …

From social to biological systems, many real-world systems are characterized by higher-
order, non-dyadic interactions. Such systems are conveniently described by hypergraphs …

A range of systems across the social and natural sciences generate data sets consisting of
interactions between two distinct categories of items at various instances in time. Online …

Interactions involving multiple objects simultaneously are ubiquitous across many domains.
The systems these interactions inhabit can be modelled using hypergraphs, a generalization …

Hypergraphs, a generalization of graphs, naturally represent groupwise relationships
among multiple individuals or objects, which are common in many application areas …