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
Complex Networks: from Biology to Information Technology
Alain Barrat,Stefano Boccaletti,Guido Caldarelli,Alessandro Chessa,Vito Latora,Adilson E. Motter +5 more
Journal ArticleDOI
Anomalous Consistency in Mild Cognitive Impairment: a complex networks approach
Johann H. Martínez,Johann H. Martínez,Pedro Ariza,Massimiliano Zanin,David Papo,Fernando Maestú,J. M. Pastor,Ricardo Bajo,Stefano Boccaletti,Javier M. Buldú +9 more
TL;DR: This work proposes a novel method for evaluating consistency from non-invasive brain recordings of cortical activity recorded with magnetoencephalography, and represents the first attempt at evaluating the consistency of brain functional activity using complex networks theory.
Posted Content
Interlayer Hebbian Plasticity Induces First-Order Transition in Multiplex Networks
TL;DR: In this article, the authors investigate the impact of adaptive interlayer processes on intra-layer synchronization in multiplex networks and provide rigorous analytic predictions of the critical coupling strengths for the onset of synchronization and de-synchronization, and verify all theoretical predictions by means of extensive numerical simulations.
Emergence of network features from
TL;DR: This work analyzes the structural properties of an intrinsically multilayered real network, the European Air Transportation Multiplex Network in which each commercial airline defines a network layer, and discusses how the topology of each layer affects the emergence of structural properties in the aggregate network.
Journal ArticleDOI
Defect dynamics during a quench in a bénard–marangoni convection system
TL;DR: Experimental evidence of defect formation and dynamics in a symmetry breaking transition for a conduction–convection Benard–Marangoni system suggests that the scaling law of defects in the final structure versus quench time might be investigated by analyzing the probability of two or more dislocations to appear in the same interaction region.