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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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Journal ArticleDOI

Complex networks: Structure and dynamics

Stefano Boccaletti, +5 more
- 01 Feb 2006 - 
TL;DR: The major concepts and results recently achieved in the study of the structure and dynamics of complex networks are reviewed, and the relevant applications of these ideas in many different disciplines are summarized, ranging from nonlinear science to biology, from statistical mechanics to medicine and engineering.
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The structure and dynamics of multilayer networks

Stefano Boccaletti, +11 more
- 01 Nov 2014 - 
TL;DR: This work offers a comprehensive review on both structural and dynamical organization of graphs made of diverse relationships (layers) between its constituents, and cover several relevant issues, from a full redefinition of the basic structural measures, to understanding how the multilayer nature of the network affects processes and dynamics.
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The synchronization of chaotic systems

Stefano Boccaletti, +4 more
- 01 Aug 2002 - 
TL;DR: Synchronization of chaos refers to a process where two chaotic systems adjust a given property of their motion to a common behavior due to a coupling or to a forcing (periodical or noisy) as discussed by the authors.
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Statistical physics of human cooperation

Matjaz Perc, +6 more
- 08 May 2017 - 
TL;DR: In this article, the authors review experimental and theoretical research that advances our understanding of human cooperation, focusing on spatial pattern formation, on the spatiotemporal dynamics of observed solutions, and on self-organization that may either promote or hinder socially favorable states.
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Statistical physics of human cooperation

Matjaz Perc, +6 more
- 19 May 2017 - 
TL;DR: Experimental and theoretical research is reviewed that advances the understanding of human cooperation, focusing on spatial pattern formation, on the spatiotemporal dynamics of observed solutions, and on self-organization that may either promote or hinder socially favorable states.