V
Vito Latora
Researcher at Queen Mary University of London
Publications - 360
Citations - 41121
Vito Latora is an academic researcher from Queen Mary University of London. The author has contributed to research in topics: Complex network & Centrality. The author has an hindex of 78, co-authored 332 publications receiving 35697 citations. Previous affiliations of Vito Latora include University of Catania & University of Paris.
Papers
More filters
Journal ArticleDOI
Scaling and universality in river flow dynamics
TL;DR: In this paper, the authors investigate flow dynamics in rivers characterized by basin areas and daily mean discharge spanning different orders of magnitude and show that the delayed increments evaluated at time scales ranging from days to months can be rescaled to the same non-Gaussian probability density function.
Journal ArticleDOI
Control Technique for Synchronization of Selected Nodes in Directed Networks
TL;DR: This letter proposes a method to control a set of arbitrary nodes in a directed network such that they follow a synchronous trajectory which is, in general, not shared by the other units of the network.
Proceedings ArticleDOI
Modules identification by a Dynamical Clustering algorithm based on chaotic R\"ossler oscillators
TL;DR: A modified version of this dynamical clustering algorithm for the identification of modules in complex networks based on a system of chaotic Rossler oscillators is presented and its sensitivity is tested on real and computer generated networks with well known modular structure.
Journal ArticleDOI
Benchmarking the performance of controllers for power grid transient stability
TL;DR: In this paper, an optimal centralized (therefore non-local) control problem for stable operation of power grids and determining the minimal amount of active power necessary to guarantee a stable service within the operational constraints, minimizing a suitable cost function at the same time.
Journal ArticleDOI
Non-Poisson Distribution of the Time Distances Between Two Consecutive Clusters of Earthquakes
Luigi Palatella,Paolo Allegrini,Paolo Grigolini,Paolo Grigolini,Vito Latora,Mirko S. Mega,Andrea Rapisarda,Sergio Vinciguerra +7 more
TL;DR: In this article, with the help of the diffusion entropy technique, the distance between consecutive Omori's swarms of earthquakes is shown to be a non-Poisson distribution.