Science of networks, from structure to dynamics.
Our research combines graph theory, computational network analysis and data-driven methods to understand complex systems, their vulnerabilities, communities and emergent behaviour.
Research shaped by the questions we ask.
These areas are grounded in the group's publication record and connected to our current research directions. Select an area to explore its questions, visual language and representative publications.
Network Robustness & Resilience
Failures, attacks, weight thresholding and the resilience of real-world networks.
Network Structure & Community Dynamics
Centrality, communities, profile closeness, social networks and structural stability.
Climate Networks
Network approaches to climate dynamics, interactions and complex-system behaviour.
Graph Learning & AI
Representation learning, explainable AI and machine learning for relational data.
Graph Theory & Mathematical Foundations
Medians, remoteness, symmetry and mathematical structure in graphs.
Brain & Network Neuroscience
Emerging work using recurrence networks and network analysis to study brain dynamics.