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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.soc-ph2023★ 1 cited

Higher-order correlations reveal complex memory in temporal hypergraphs

Luca Gallo, Lucas Lacasa, Vito Latora +1

Many real-world complex systems are characterized by interactions in groups that change in time. Current temporal network approaches, however, are unable to describe group dynamics…

physics.soc-ph2022

Network bypasses sustain complexity

Ernesto Estrada, Jesús Gómez-Gardeñes, Lucas Lacasa

Real-world networks are neither regular nor random, a fact elegantly explained by mechanisms such as the Watts-Strogatz or the Barabasi-Albert models, among others. Both mechanisms…

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…

physics.soc-ph2020★ 24 cited

The arrow of time across five centuries of classical music

Alfredo González-Espinoza, Gustavo Martínez-Mekler, Lucas Lacasa

The concept of time series irreversibility -- the degree by which the statistics of signals are not invariant under time reversal -- naturally appears in non-equilibrium physics in…

physics.soc-ph2019

Predicting success in the worldwide start-up network

Moreno Bonaventura, Valerio Ciotti, Pietro Panzarasa +3

By drawing on large-scale online data we construct and analyze the time-varying worldwide network of professional relationships among start-ups. The nodes of this network represent…

physics.soc-ph2019★ 49 cited

Quantifying and predicting success in show business

Oliver E. Williams, Lucas Lacasa, Vito Latora

Recent studies in the science of success have shown that the highest-impact works of scientists or artists happen randomly and uniformly over the individual's career. Yet in certai…