Our papers are the official record of our discoveries. They allow others to build on and apply our work. Each paper is the result of many months of research, so we make a special effort to make them clear, beautiful and inspirational, and publish them in leading journals.
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Statistical physics
Physics of networks
Statistical physics harnesses links between maximum entropy and information theory to capture null model and real-world network features.
Financial networks
MSGC
TSFS Journal of Statistical PhysicsFrom ecology to finance
Bipartite networks model the structures of ecological and economic real-world systems, enabling hypothesis testing and crisis forecasting.
Network theory
DGSATF
GC Social InformaticsScales in weighted networks
Information theory fixes weighted networks’ degeneracy issues with a generalisation of binary graphs and an optimal scale of link intensities.
Network theory
GC
ACICFP Physical Review EWeighted network evolution
A statistical procedure identifies dominant edges within weighted networks to determine whether a network has reached its steady state.
Network theory
Clustering inverted
Edge multiplicity—the number of triangles attached to edges—is a powerful analytic tool to understand and generalize network properties.