Maximally modular structure of growing hyperbolic networks

in Scientific publications
Share this publication
Author Sámuel G. Balogh, Bianka Kovács, Gergely Palla
DOI 10.48550/arXiv.2206.08773
Repository link
Open access Yes


Hyperbolic models are remarkably good at reproducing the scale-free, highly clustered and smallworld properties of networks representing real complex systems in a very simple framework. Here we show that for the popularity-similarity optimization model from this family, the generated networks become also extremely modular in the thermodynamic limit, in spite of lacking any explicit community formation mechanism in the model definition. According to our analytical results supported by numerical simulations, when the system size is increased, the modularity approaches one surprisingly fast.

Previous Post
Generalised popularity-similarity optimisation model for growing hyperbolic networks beyond two dimensions
Next Post
Model-independent methods for embedding directed networks into Euclidean and hyperbolic spaces
You may also be interested in these topics
Skip to content