activity
20072021
most citedExplosive higher-order Kuramoto dynamics on simplicial complexes

336 citations · 410 across the 5 of their papers we have counts for

collaborators

6 papers

cond-mat.dis-nn2021★ 17 cited

Geometry, Topology and Simplicial Synchronization

Ana Paula Millán, Juan G. Restrepo, Joaquín J. Torres +1

Simplicial synchronization reveals the role that topology and geometry have in determining the dynamical properties of simplicial complexes. Simplicial network geometry and topolog…

cond-mat.stat-mech2021★ 3 cited

Local topological moves determine global diffusion properties of hyperbolic higher-order networks

Ana P Millán, Reza Ghorbanchian, Nicolò Defenu +2

From social interactions to the human brain, higher-order networks are key to describe the underlying network geometry and topology of many complex systems. While it is well known…

cond-mat.stat-mech2020★ 27 cited

Complex networks with tuneable dimensions as a universality playground

Ana P. Millán, Giacomo Gori, Federico Battiston +2

Universality is one of the key concepts in understanding critical phenomena. However, for interacting inhomogeneous systems described by complex networks a clear understanding of t…

physics.soc-ph2020

The shape of memory in temporal networks

Oliver E. Williams, Lucas Lacasa, Ana P. Millán +1

Temporal networks are widely used models for describing the architecture of complex systems. Network memory -- that is the dependence of a temporal network's structure on its past…

nlin.AO2019★ 336 cited

Explosive higher-order Kuramoto dynamics on simplicial complexes

Ana P. Millán, Joaquín J. Torres, Ginestra Bianconi

The higher-order interactions of complex systems, such as the brain are captured by their simplicial complex structure and have a significant effect on dynamics. However, the exist…

cond-mat.mtrl-sci2007★ 27 cited

Evidence of random magnetic anisotropy in ferrihydrite nanoparticles based on analysis of statistical distributions

N. J. O. Silva, V. S. Amaral, L. D. Carlos +7

We show that the magnetic anisotropy energy of antiferromagnetic ferrihydrite depends on the square root of the nanoparticles volume, using a method based on the analysis of statis…