Higher-order

Not your private tête-à-tête: leveraging the power of higher-order networks to study animal communication

Animal communication is frequently studied with conventional network representations that link pairs of individuals who interact, for example, through vocalization. However, acoustic signals often have multiple simultaneous receivers, or receivers …

The structural evolution of temporal hypergraphs through the lens of hyper-cores

The richness of many complex systems stems from the interactions among their components. The higher-order nature of these interactions, involving many units at once, and their temporal dynamics constitute crucial properties that shape the behaviour …

Insights from exact social contagion dynamics on networks with higher-order structures

Recently, there has been an increasing interest in studying dynamical processes on networks exhibiting higher-order structures, such as simplicial complexes, where the dynamics acts above and beyond dyadic interactions. Using simulations or …

Hyper-cores promote localization and efficient seeding in higher-order processes

Going beyond networks, to include higher-order interactions of arbitrary sizes, is a major step to better describe complex systems. In the resulting hypergraph representation, tools to identify structures and central nodes are scarce. We consider the …

The temporal dynamics of group interactions in higher-order social networks

The structure and behaviour of many social systems are shaped by the interactions among their individuals. Representing them as complex networks has shed light on the mechanisms that govern their formation and evolution. Such representations, …

Temporal group interactions in social systems

New preprint out on the arXiv!

I'm joining the NU Network Science Institute!

Back in London! Extremely happy to share that I am joining the Network Science Institute at Northeastern University London. I will be an Assistant Professor at the newly launched hub.

XGI: A Python package for higher-order interaction networks

CompleX Group Interactions (XGI) is a library for analyzing higher-order networks. Such networks are used to model interactions of arbitrary size between entities in a complex system. This library provides methods for building hypergraphs and …

New Python package for higher-order interactions!

XGI: Comple(X) (G)roup (I)nteractions

Simplicially driven simple contagion

Single contagion processes are known to display a continuous transition from an epidemic-free state to an epidemic one, for contagion rates above a critical threshold. This transition can become discontinuous when two simple contagion processes are …