S
Stefano Boccaletti
Researcher at Moscow Institute of Physics and Technology
Publications - 361
Citations - 29686
Stefano Boccaletti is an academic researcher from Moscow Institute of Physics and Technology. The author has contributed to research in topics: Complex network & Synchronization (computer science). The author has an hindex of 60, co-authored 348 publications receiving 25776 citations. Previous affiliations of Stefano Boccaletti include King Juan Carlos University & Istituto Nazionale di Fisica Nucleare.
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Thresholds for epidemic outbreaks in finite scale-free networks.
TL;DR: It is numerically investigated the existence of a threshold for epidemic outbreaks in a class of scale-free networks characterized by a parametri- cal dependence of the scaling exponent, influencing the convergence of fluctuations in the degree distribution.
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Competition of synchronization domains in arrays of chaotic homoclinic systems.
TL;DR: A rich phenomenology of stable competitive states is observed, including temporal alternation and spatial coexistence of synchronization domains in an open chain of bidirectionally coupled chaotic homoclinic systems to external periodic stimuli.
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Detecting and localizing the foci in human epileptic seizures
TL;DR: A simple and computationally fast method to analyze the interictal phase synchrony between electrodes is introduced and developed with the aim of detecting and localizing the foci of the epileptic seizures.
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Synchronization in starlike networks of phase oscillators.
TL;DR: The mechanisms underlying synchronization in starlike networks of phase oscillators are fully described and it is unveiled that relaxation rates to each equilibrium state indeed exist and remain invariant under three levels of descriptions corresponding to different geometric implications.
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Effective centrality and explosive synchronization in complex networks.
A. Navas,J. A. Villacorta-Atienza,Inmaculada Leyva,Juan A. Almendral,Irene Sendiña-Nadal,Stefano Boccaletti +5 more
TL;DR: The effective centrality, a measure that quantifies the role and importance of each network's node in the synchronization process, is introduced in the context of explosive synchronization, to assess the propensity of a graph to sustain an irreversible transition to synchronization.