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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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Landau damping effects in the synchronization of conformist and contrarian oscillators

TL;DR: It is shown that a phenomenon resembling Landau damping is far more generic, as soon as phase oscillators couple to their mean field according to their natural frequencies, being then grouped into two distinct populations of conformists and contrarians.
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Computation as an emergent feature of adaptive synchronization.

TL;DR: The spontaneous emergence of computation from adaptive synchronization of networked dynamical systems is reported, and the general applicability is demonstrated with regard to periodic and chaotic oscillators, and excitable systems mimicking neural dynamics.
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Collective stochastic coherence and synchronizability in weighted scale-free networks

TL;DR: Weighted scale-free networks of diffusively coupled excitable elements exhibit both high synchronizability of their subthreshold dynamics and a good collective response to noise of their pulsed dynamics due to the link homogeneity provided by the weighting procedure, which balances the degree heterogeneity typical of SFNs.
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Contagion in simplicial complexes

TL;DR: In this article, the authors analyze the spreading dynamics in a simplicial complex environment, designed to capture the coexistence of interactions of different orders, and find that, while pairwise interactions play a key role in the initial stages of the spread, once it gains coverage, higher order simplices take over and drive the contagion dynamics.
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The structure and dynamics of networks with higher order interactions

TL;DR: In this article , the authors focus on the structure and dynamics of hypergraphs and simplicial complexes, and show that such structures play a pivotal role in the complex organization and functioning of real-world distributed systems.