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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Journal ArticleDOI
Principles of recovery from traumatic brain injury: Reorganization of functional networks
Nazareth P. Castellanos,Inmaculada Leyva,Inmaculada Leyva,Javier M. Buldú,Javier M. Buldú,Ricardo Bajo,Nuria Paul,Pablo Cuesta,Victoria E. Ordóñez,Cristina L. Pascua,Stefano Boccaletti,Fernando Maestú,Francisco del-Pozo +12 more
TL;DR: The results indicate that: 1) the principle of recovery depends on the spectral band, 2) the structure of the functional networks evolves in parallel to brain recovery with correlations with neuropsychological scales, and 3) energetic cost reveals an optimal principle of Recovery.
Journal ArticleDOI
Functional brain networks: great expectations, hard times and the big leap forward.
TL;DR: The recent application of complex network theory to the study of functional brain networks has generated great enthusiasm as it allows addressing hitherto non-standard issues in the field, such as efficiency of brain functioning or vulnerability to damage as mentioned in this paper.
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Inter-layer synchronization in non-identical multi-layer networks.
Inmaculada Leyva,Inmaculada Leyva,Ricardo Sevilla-Escoboza,Irene Sendiña-Nadal,Irene Sendiña-Nadal,Ricardo Gutiérrez,Javier M. Buldú,Javier M. Buldú,Stefano Boccaletti +8 more
TL;DR: In this article, an approximate analytical treatment for a two-layer multiplex is presented, which results in the introduction of an extra inertial term accounting for structural differences, and identifies a non-trivial relationship connecting the betweenness centrality of missing links and the intra-layer coupling strength.
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Synchronization in dynamical networks: evolution along commutative graphs.
TL;DR: It is shown that synchronization in a dynamical network can be achieved even in the case in which each individual commutative graphs does not give rise to synchronized behavior.
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Synchronization of chaotic systems with coexisting attractors.
Alexander N. Pisarchik,Rider Jaimes-Reátegui,J. R. Villalobos-Salazar,J. R. Villalobos-Salazar,J. H. García-López,Stefano Boccaletti +5 more
TL;DR: The route from the asynchronous motion to a completely synchronized state is characterized by the sequence of type-I and on-off intermittencies, intermittent phase synchronization, anticipated synchronization, and period-doubling phase synchronization.