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20212026
most citedEmergence of geometric Turing patterns in complex networks

19 citations · 43 across the 7 of their papers we have counts for

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physics.soc-ph2026

Latent geometry organizes higher-order interactions

Berné L. Nortier, Jasper van der Kolk, Robert Jankowski +4

Higher-order structures offer a natural representation of complex systems that involve interactions between groups of different sizes. A widespread feature of their higher-order st…

physics.soc-ph2025

Multiplexity amplifies geometry in networks

Jasper van der Kolk, Dmitri Krioukov, Marián Boguñá +1

Many real-world network are multilayer, with nontrivial correlations across layers. Here we show that these correlations amplify geometry in networks. We focus on mutual clustering…

physics.soc-ph2024

Renormalization of networks with weak geometric coupling

Jasper van der Kolk, Marián Boguñá, M. Ángeles Serrano

The Renormalization Group is crucial for understanding systems across scales, including complex networks. Renormalizing networks via network geometry, a framework in which their to…

physics.soc-ph2023★ 7 cited

Random graphs and real networks with weak geometric coupling

J. van der Kolk, M. Á. Serrano, M. Boguñá

Geometry can be used to explain many properties commonly observed in real networks. It is therefore often assumed that real networks, especially those with high average local clust…

physics.soc-ph2021★ 17 cited

A geometry-induced topological phase transition in random graphs

Jasper van der Kolk, M. Ángeles Serrano, Marián Boguñá

Clustering $\unicode{x2013}$ the tendency for neighbors of nodes to be connected $\unicode{x2013}$ quantifies the coupling of a complex network to its latent metric space. In rando…