activity
20172022
most citedEmergence of geometric Turing patterns in complex networks

19 citations · 22 across the 2 of their papers we have counts for

collaborators

5 papers

nlin.PS2022★ 19 cited

Emergence of geometric Turing patterns in complex networks

Jasper van der Kolk, Guillermo García-Pérez, Nikos E. Kouvaris +2

Turing patterns, arising from the interplay between competing species of diffusive particles, has long been an important concept for describing non-equilibrium self-organization in…

physics.soc-ph2019

Mercator: uncovering faithful hyperbolic embeddings of complex networks

Guillermo García-Pérez, Antoine Allard, M. Ángeles Serrano +1

We introduce Mercator, a reliable embedding method to map real complex networks into their hyperbolic latent geometry. The method assumes that the structure of networks is well des…

physics.soc-ph2019★ 3 cited

Predictability of missing links in complex networks

Guillermo García-Pérez, Roya Aliakbarisani, Abdorasoul Ghasemi +1

Predicting missing links in real networks is an important problem in network science to which considerable efforts have been devoted, giving as a result a vast plethora of link pre…

physics.soc-ph2017

Soft communities in similarity space

Guillermo García-Pérez, M. Ángeles Serrano, Marián Boguñá

The model has been a central geometric model in the development of the field of network geometry. It has been mainly studied in its homogeneous regime, in which angu…

cond-mat.dis-nn2017

Multiscale unfolding of real networks by geometric renormalization

Guillermo García-Pérez, Marián Boguñá, M. Ángeles Serrano

Multiple scales coexist in complex networks. However, the small world property makes them strongly entangled. This turns the elucidation of length scales and symmetries a defiant c…