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
Complex networks: Structure and dynamics
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.
Journal ArticleDOI
Efficient Behavior of Small-World Networks
TL;DR: It is shown that the underlying general principle of their construction is in fact a small-world principle of high efficiency, which gives a clear physical meaning to the concept of "small world," and also a precise quantitative analysis of both weighted and unweighted networks.
Journal ArticleDOI
Error and attack tolerance of complex networks
TL;DR: This work represents communication/transportation systems as networks and studies their ability to resist failures simulated as the breakdown of a group of nodes of the network chosen at random (chosen accordingly to degree or load).
Journal ArticleDOI
Model for cascading failures in complex networks
TL;DR: It is shown that the breakdown of a single node is sufficient to collapse the efficiency of the entire system if the node is among the ones with largest load.
Journal ArticleDOI
Networks beyond pairwise interactions: Structure and dynamics
Federico Battiston,Giulia Cencetti,Iacopo Iacopini,Iacopo Iacopini,Vito Latora,Maxime Lucas,Alice Patania,Jean-Gabriel Young,Giovanni Petri +8 more
TL;DR: A complete overview of the emerging field of networks beyond pairwise interactions, and focuses on novel emergent phenomena characterizing landmark dynamical processes, such as diffusion, spreading, synchronization and games, when extended beyond Pairwise interactions.