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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.

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Influential groups for seeding and sustaining hypergraph contagions

TL;DR: In this paper, the authors developed a mathematical framework based on approximate master equations to study contagions on random hypergraphs with a heterogeneous structure, both in terms of group size (hyperedge cardinality) and of membership of nodes to groups (hyperdegree).

Maximal dispersion of adaptive random walks

TL;DR: In this article , the authors propose a solution to solve the problem of the problem: this article ] of "uniformity" and "uncertainty" of the solution.
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Comment on "Negative specific heat for a cluster of 147 Sodium atoms" by Schmidt et al

TL;DR: In this article, Schmidt et al. observed and analyzed negative specific heat in Na clusters within the framework of Boltzmann-Gibbs equilibrium statistical mechanics and argued that this is not the only physical possibility to be taken into account.
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Detection of invisible and crucial events: from seismic fluctuations to the war against terrorism

TL;DR: In this article, the authors argue that the recent discovery of the non-Poissonian statistics of the seismic main-shocks is a special case of a more general approach to the detection of the distribution of the time increments between one crucial but invisible event and the next.
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Sensitivity to the impact parameter of the multiparticle decay at intermediate energy.

TL;DR: The multiparticle decay in collisions induced by 44 MeV/nucleon [sup 40]Ar and [sup 132]Xe projectiles on several targets is studied using MEDEA 4[pi] detection system and the impact parameter dependence of the charged particle multiplicity is determined.