2022 - Research.com Engineering and Technology in United Kingdom Leader Award
Vito Latora mainly investigates Theoretical computer science, Complex network, Complex system, Evolving networks and Centrality. His Theoretical computer science study combines topics in areas such as Graph, Measure, Enhanced Data Rates for GSM Evolution and Clustering coefficient, Cluster analysis. Vito Latora works in the field of Complex network, namely Interdependent networks.
Vito Latora interconnects Topology, Network dynamics, Human dynamics and Scale-free network in the investigation of issues within Interdependent networks. His Complex system research incorporates themes from Multiplex, Planar graph, Social system, Node and Data science. His Evolving networks research integrates issues from Artificial neural network, Small-world network and Curse of dimensionality.
His main research concerns Complex network, Statistical physics, Theoretical computer science, Centrality and Complex system. His research investigates the connection between Complex network and topics such as Random walk that intersect with issues in Entropy rate and Nonlinear system. The study incorporates disciplines such as Phase transition, Hamiltonian and Mean field theory in addition to Statistical physics.
In his study, Data science, Motion and Group is strongly linked to Social system, which falls under the umbrella field of Theoretical computer science. His biological study spans a wide range of topics, including Regional science, Data mining, Network analysis and Social network. He works mostly in the field of Complex system, limiting it down to topics relating to Multiplex and, in certain cases, Layer, as a part of the same area of interest.
His scientific interests lie mostly in Complex network, Topology, Social system, Theoretical computer science and Data science. His Complex network study incorporates themes from Distributed computing, Graph, Random walk and Nonlinear system. The study incorporates disciplines such as Stability, Set and Trajectory in addition to Topology.
His research on Social system also deals with topics like
Vito Latora spends much of his time researching Multiplex, Data science, Social system, Theoretical computer science and Layer. His studies deal with areas such as Human Connectome, Core, Neuroscience and Measure as well as Multiplex. His research investigates the link between Data science and topics such as Complex system that cross with problems in The Internet and Graph.
His studies in Theoretical computer science integrate themes in fields like Topology, Social dynamics, Random walk and Pairwise comparison. Vito Latora focuses mostly in the field of Random walk, narrowing it down to topics relating to Coevolution and, in certain cases, Network topology, Enhanced Data Rates for GSM Evolution, Node and Network dynamics. His study explores the link between Network topology and topics such as Synchronization that cross with problems in Complex network.
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Complex networks: Structure and dynamics
S. Boccaletti;V. Latora;V. Latora;Y. Moreno;M. Chavez.
Physics Reports (2006)
Efficient Behavior of Small-World Networks
Vito Latora;Vito Latora;Massimo Marchiori;Massimo Marchiori.
Physical Review Letters (2001)
Model for cascading failures in complex networks
Paolo Crucitti;Vito Latora;Massimo Marchiori.
Physical Review E (2004)
Economic Small-World Behavior in Weighted Networks
Vito Latora;Massimo Marchiori.
European Physical Journal B (2003)
Modeling cascading failures in the North American power grid
R. Kinney;P. Crucitti;R. Albert;V. Latora.
European Physical Journal B (2005)
The network analysis of urban streets: A dual approach
Sergio Porta;Paolo Crucitti;Vito Latora.
Physica A-statistical Mechanics and Its Applications (2006)
Is the Boston subway a small-world network ?
Vito Latora;Massimo Marchiori.
Physica A-statistical Mechanics and Its Applications (2002)
The Network Analysis of Urban Streets: A Primal Approach:
Sergio Porta;Paolo Crucitti;Vito Latora.
Environment and Planning B-planning & Design (2006)
Centrality measures in spatial networks of urban streets
Paolo Crucitti;Vito Latora;Sergio Porta.
Physical Review E (2006)
Error and attack tolerance of complex networks
Paolo Crucitti;Vito Latora;Massimo Marchiori;Andrea Rapisarda.
Physica A-statistical Mechanics and Its Applications (2004)
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