2.5k citations · 6.4k across the 80 of their papers we have counts for
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A machine learning approach to predicting dynamical observables from network structure
Francisco A. Rodrigues, Thomas Peron, Colm Connaughton +2
Estimating the outcome of a given dynamical process from structural features is a key unsolved challenge in network science. The goal is hindered by difficulties associated to nonl…
Collective dynamics of random Janus oscillator networks
Thomas Peron, Deniz Eroglu, Francisco A. Rodrigues +1
Janus oscillators have been recently introduced as a remarkably simple phase oscillator model that exhibits non-trivial dynamical patterns -- such as chimeras, explosive transition…
On the onset of synchronization of Kuramoto oscillators in scale-free networks
Thomas Peron, Bruno Messias, Angélica S. Mata +2
Despite the great attention devoted to the study of phase oscillators on complex networks in the last two decades, it remains unclear whether scale-free networks exhibit a nonzero…
Multifractality in random networks with power-law decaying bond strengths
Didier A. Vega-Oliveros, J. A. Méndez-Bermúdez, Francisco A. Rodrigues
In this paper we demonstrate numerically that random networks whose adjacency matrices are represented by a diluted version of the Power--Law Banded Random Matrix (PBRM)…
Centrality anomalies in complex networks as a result of model over-simplification
Luiz G. A. Alves, Alberto Aleta, Francisco A. Rodrigues +2
Tremendous advances have been made in our understanding of the properties and evolution of complex networks. These advances were initially driven by information-poor empirical netw…
Network centrality: an introduction
Francisco Aparecido Rodrigues
Centrality is a key property of complex networks that influences the behavior of dynamical processes, like synchronization and epidemic spreading, and can bring important informati…
Layer degradation triggers an abrupt structural transition in multiplex networks
Emanuele Cozzo, Guilherme Ferraz de Arruda, Francisco A. Rodrigues +1
Network robustness is a central point in network science, both from a theoretical and a practical point of view. In this paper, we show that layer degradation, understood as the co…