output
19992026
most citedThe structure and dynamics of multilayer networks

3.1k citations

Showing 2016Show all

13 papers · 1 filter

cs.CV2016★ 16 cited

Monocular 3D Human Pose Estimation In The Wild Using Improved CNN Supervision

Dushyant Mehta, Helge Rhodin, Dan Casas +4

We propose a CNN-based approach for 3D human body pose estimation from single RGB images that addresses the issue of limited generalizability of models trained solely on the starkl…

cond-mat.stat-mech2016★ 65 cited

Experimental signatures of an absorbing-state phase transition in an open driven many-body quantum system

Ricardo Gutierrez, Cristiano Simonelli, Matteo Archimi +6

Understanding and probing phase transitions in non-equilibrium systems is an ongoing challenge in physics. A particular instance are phase transitions that occur between a non-fluc…

physics.class-ph2016★ 10 cited

Collision of two Hopfions

M. Arrayás, J. L. Trueba

We study the collision of two hopfions or Hopf-Rañada electromagnetic fields. The superposition of two of such fields, travelling in opposite directions, yields different topology…

nlin.AO2016★ 369 cited

Explosive transitions in complex networks' structure and dynamics: percolation and synchronization

S. Boccaletti, J. A. Almendral, S. Guan +5

Percolation and synchronization are two phase transitions that have been extensively studied since already long ago. A classic result is that, in the vast majority of cases, these…

math.AG2016★ 4 cited

On uniform flag bundles on Fano manifolds

Roberto Muñoz, Gianluca Occhetta, Luis E. Solá Conde

As a natural extension of the theory of uniform vector bundles on Fano manifolds, we consider uniform principal bundles, and study them by means of the associated flag bundles, as…

nlin.AO2016★ 19 cited

Optimal phase synchronization in networks of phase-coherent chaotic oscillators

Per Sebastian Skardal, Ricardo Sevilla-Escoboza, Victor Vera-Ávila +1

We investigate the existence of an optimal interplay between the natural frequencies of a group chaotic oscillators and the topological properties of the network they are embedded…

nlin.CD2016★ 37 cited

Partially controlling transient chaos in the Lorenz equations

Rubén Capeáns, Juan Sabuco, Miguel A. F. Sanjuán +1

Transient chaos is a characteristic behavior in nonlinear dynamics where trajectories in a certain region of phase space behave chaotically for a while, before escaping to an exter…

nlin.CD2016★ 29 cited

Wada property in systems with delay

Alvar Daza, Alexandre Wagemakers, Miguel A. F. Sanjuán

Delay differential equations take into account the transmission time of the information. These delayed signals may turn a predictable system into chaotic, with the usual fractaliza…

q-fin.GN2016★ 11 cited

The topology of card transaction money flows

Massimiliano Zanin, David Papo, Miguel Romance +2

Money flow models are essential tools to understand different economical phenomena, like saving propensities and wealth distributions. In spite of their importance, most of them ar…

nlin.CD2016★ 205 cited

Basin entropy: a new tool to analyze uncertainty in dynamical systems

Alvar Daza, Alexandre Wagemakers, Bertrand Georgeot +2

In nonlinear dynamics, basins of attraction link a given set of initial conditions to its corresponding final states. This notion appears in a broad range of applications where sev…

cs.IT2016★ 82 cited

Blind Identification of Graph Filters

Santiago Segarra, Gonzalo Mateos, Antonio G. Marques +1

Network processes are often represented as signals defined on the vertices of a graph. To untangle the latent structure of such signals, one can view them as outputs of linear grap…

eess.SY2016★ 240 cited

Stationary Graph Processes and Spectral Estimation

Antonio G. Marques, Santiago Segarra, Geert Leus +1

Stationarity is a cornerstone property that facilitates the analysis and processing of random signals in the time domain. Although time-varying signals are abundant in nature, in m…

q-bio.NC2016★ 65 cited

Beware of the Small-World neuroscientist!

David Papo, Massimiliano Zanin, Johann H. Martínez +1

The SW has undeniably been one of the most popular network descriptors in the neuroscience literature. Two main reasons for its lasting popularity are its apparent ease of computat…