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.
Papers
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Journal ArticleDOI
Diverse strategic identities induce dynamical states in evolutionary games
Irene Sendiña-Nadal,Irene Sendiña-Nadal,Inmaculada Leyva,Inmaculada Leyva,Matjaž Perc,Matjaž Perc,David Papo,Marko Jusup,Zhen Wang,Juan A. Almendral,Juan A. Almendral,Pouya Manshour,Stefano Boccaletti +12 more
TL;DR: This paper showed the results of allowing individuals to adopt different strategies with different partners in the evolutionary dynamics, including time-dependent coexistence of cooperation and defection, system-wide shifts in the dominant strategy, and maturation in individual choices.
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Collective dynamics of heterogeneously and nonlinearly coupled phase oscillators
Can Xu,Xiaohuan Tang,Huaping Lü,K. Alfaro-Bittner,K. Alfaro-Bittner,Stefano Boccaletti,Matjaz Perc,Shuguang Guan +7 more
TL;DR: In this paper, a variant of the Kuramoto model, where the coupling between the phase oscillators is heterogeneous and nonlinear, is studied, and it is shown that the interplay of these factors leads to a fascinatingly rich collective dynamics.
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Synchronization processes in complex networks
TL;DR: This work reviews the main techniques that have been proposed for assessing the propensity for synchronization (synchronizability) of a given networked system and describes the main applications, especially in the view of selecting the optimal topology in the coupling configuration that provides enhancement of the synchronization features.
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Adaptive recognition and control of chaos
Stefano Boccaletti,F. T. Arecchi +1 more
TL;DR: In this paper, an adaptive algorithm is proposed to recognize and stabilize the unstable periodic orbits embedded in a chaotic attractor, through additive corrections to the dynamics, depending upon the size of the local expansion rate.
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Effect of a variable delay in delayed dynamical systems
TL;DR: Numerical evidence is reported of the eects of a periodic modulation in the delay time of a delayed dynamical system and the relationship between the period of the shadowed orbit and the amplitude of the modulation is given.