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.
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Journal ArticleDOI
Maximal-entropy random walks in complex networks with limited information
Roberta Sinatra,Roberta Sinatra,Jesús Gómez-Gardeñes,Renaud Lambiotte,Vincenzo Nicosia,Vincenzo Nicosia,Vito Latora,Vito Latora +7 more
TL;DR: It is demonstrated that an almost maximal-entropy random walk is obtained when the step probabilities are proportional to a power of the degree of the target node, with an exponent α that depends on the degree-degree correlations and is equal to 1 in uncorrelated graphs.
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Components in time-varying graphs
TL;DR: The notion of connectedness, and the definitions of node and graph components, are extended to the case of time-varying graphs, which are represented as time-ordered sequences of graphs defined over a fixed set of nodes.
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Spreading of sexually transmitted diseases in heterosexual populations
TL;DR: It is shown that the epidemic outbreak in bipartite populations, with number of sexual partners distributed as in empirical observations from national sex surveys, takes place for larger spreading rates than for the case in which the bipartITE nature of the network is not taken into account.
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Components in time-varying graphs
TL;DR: In this article, the problem of finding strongly connected components in a time-varying graph can be mapped into finding the maximal-cliques in an opportunely constructed static graph, which is called the affine graph.
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Network Dynamics of Innovation Processes.
TL;DR: In this article, the authors introduce a model for the emergence of innovations, in which cognitive processes are described as random walks on the network of links among ideas or concepts, and an innovation corresponds to the first visit of a node.