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20052026
most citedFrom time series to complex networks: the visibility graph

1.8k citations · 3.5k across the 58 of their papers we have counts for

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physics.data-an2026

Visibility graph-based characterization of extreme values in time series

Juliane T. Moraes, Lucas Lacasa, Cristina Masoller

Complex dynamical systems often display extreme fluctuations of an observed variable that constitute significant deviations from the long-term average, and which are often associat…

physics.data-an2023★ 16 cited

Lyapunov Exponents for Temporal Networks

Annalisa Caligiuri, Victor M. Eguiluz, Leonardo di Gaetano +2

By interpreting a temporal network as a trajectory of a latent graph dynamical system, we introduce the concept of dynamical instability of a temporal network, and construct a meas…

physics.data-an2019★ 11 cited

On the spectral properties of Feigenbaum graphs

Ryan Flanagan, Lucas Lacasa, Vincenzo Nicosia

A Horizontal Visibility Graph (HVG) is a simple graph extracted from an ordered sequence of real values, and this mapping has been used to provide a combinatorial encryption of tim…

physics.data-an2018★ 72 cited

Visibility graphs for image processing

Jacopo Iacovacci, Lucas Lacasa

The family of image visibility graphs (IVGs) have been recently introduced as simple algorithms by which scalar fields can be mapped into graphs. Here we explore the usefulness of…

physics.data-an2017

A combinatorial framework to quantify peak/pit asymmetries in complex dynamics

Uri Hasson, Jacopo Iacovacci, Ben Davis +4

We explore a combinatorial framework which efficiently quantifies the asymmetries between minima and maxima in local fluctuations of time series. We firstly showcase its performanc…

physics.data-an2017★ 37 cited

Visibility graphs of random scalar fields and spatial data

Lucas Lacasa, Jacopo Iacovacci

The family of visibility algorithms were recently introduced as mappings between time series and graphs. Here we extend this method to characterize spatially extended data structur…