The complexity of many biological, social and technological systems stems from the richness
of the interactions among their units. Over the past decades, a variety of complex systems …

Network-based modeling of complex systems and data using the language of graphs has
become an essential topic across a range of different disciplines. Arguably, this graph-based …

Higher-order networks have emerged as a powerful framework to model complex systems
and their collective behavior. Going beyond pairwise interactions, they encode structured …

Complex systems, composed at the most basic level of units and their interactions, describe
phenomena in a wide variety of domains, from neuroscience to computer science and …

In the past years, network theory has successfully characterized the interaction among the
constituents of a variety of complex systems, ranging from biological to technological, and …

A deluge of new data on real-world networks suggests that interactions among system units
are not limited to pairs, but often involve a higher number of nodes. To properly encode …

In the past 20 years network science has proven its strength in modeling many real-world
interacting systems as generic agents, the nodes, connected by pairwise edges …

Hypergraphs, which belong to the family of higher-order networks, are a natural and
powerful choice for modeling group interactions in the real world. For example, when …

Abstract Although the Open Government Data (OGD) movement is flourishing globally, the
large-scale utilization and value creation of OGD has not really opened yet, which is far from …

Background The understanding of biological networks is a fundamental issue in
computational biology. When analyzing topological properties of networks, one often tends …