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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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Reduced synchronization persistence in neural networks derived from atm-deficient mice.

TL;DR: It is discovered that Atm protein deficiency, which in humans leads to progressive motor impairment, leads to a reduced synchronization persistence compared to wild type synchronization, after chemically imposed DNA damage.
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Patterns, space-time chaos and topological defects in nonlinear optics

TL;DR: By increasing the Fresnel number F of a ring cavity with photorefractive gain, the transition between a low F regime where few modes compete with a regular (periodic alternation) or irregular (chaotic itinerancy) time patterns, and a high F regime, where many modes oscillate simultaneously, giving rise to chaotic domains spatially correlated over a length much shorter than the wavefront size, was shown in this article.
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Emergence of disassortative mixing from pruning nodes in growing scale-free networks

TL;DR: Evidence is given that pruning the largest-degree nodes of a growing scale-free network has the effect of decreasing the degree correlation coefficient in a controllable and tunable way, while keeping both the trait of a power-law degree distribution and the main properties of network's resilience and robustness under failures or attacks.
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Synchronization of chaotic systems: A microscopic description

TL;DR: In this article, it is shown that at the microscopic level, synchronization is captured through a gradual process of topological adjustment in phase space, in which the strange attractors of the two coupled systems continuously converge, taking similar form, until complete topological synchronization ensues.
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Self-similarity in explosive synchronization of complex networks.

TL;DR: It is reported that explosive synchronization of networked oscillators is related to self-similarity of synchronous clusters of different size, revealed by destructing the network synchronous state during the backward transition and observed with the decrease of the coupling strength between the nodes of the network.