scispace - formally typeset
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

Economic Small-World Behavior in Weighted Networks

TL;DR: This paper proposes a generalization of the theory of small worlds based on two leading concepts, efficiency and cost, and valid also for weighted networks, and provides an adequate tool to quantitatively analyze the behaviour of complex networks in the real world.
Journal ArticleDOI

The network analysis of urban streets: A dual approach

TL;DR: The authors show that the absence of any clue of assortativity differentiates urban street networks from other non-geographic systems and that most of the considered networks have a broad degree distribution typical of scale-free networks and exhibit small-world properties as well.
Journal ArticleDOI

The Network Analysis of Urban Streets: A Primal Approach:

TL;DR: This paper introduces multiple centrality assessment (MCA), a methodology for geographic network analysis, which is defined and implemented on four 1-square-mile urban street systems and shows that, in the MCA primal approach, some centrality indices nicely capture the ‘skeleton’ of the urban structure that impacts so much on spatial cognition and collective behaviours.
Journal ArticleDOI

Modeling cascading failures in the North American power grid

TL;DR: This model of the North American power grid using its actual topology and plausible assumptions about the load and overload of transmission substations indicates that the loss of a single substation can result in up to up to 25% loss of transmission efficiency by triggering an overload cascade in the network.
Journal ArticleDOI

Structural measures for multiplex networks.

TL;DR: This paper presents a general framework to describe and study multiplex networks, whose links are either unweighted or weighted, and proposes a series of measures to characterize the multiplexicity of the systems in terms of basic node and link properties.