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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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Controlling centrality in complex networks

Vincenzo Nicosia, +7 more
- 11 Jan 2012 - 
TL;DR: It is shown that there exist particular subsets of nodes, called controlling sets, which can assign any prescribed set of centrality values to all the nodes of a graph, by cooperatively tuning the weights of their out-going links.
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The Ultimatum Game in complex networks

Roberta Sinatra, +10 more
- 21 Sep 2009 - 
TL;DR: This work addresses the problem of how cooperative (altruistic-like) behavior arises in natural and social systems by analyzing an Ultimatum Game in complex networks and discusses the emergence of fairness in the different settings and network topologies.
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Anatomy of funded research in science

Athen Ma, +3 more
- 01 Dec 2015 - 
TL;DR: It is found that the leading universities form a cohesive clique among themselves and occupy brokerage positions between otherwise disconnected entities, and as the inequality in the distribution of funding grows over time, so does the degree of brokerage.
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Opinion formation models based on game theory

Alessandro Di Mare, +1 more
- 01 Sep 2007 - 
TL;DR: In this paper, a way to simulate the basic interactions between two individuals with different opinions, in the context of strategic game theory, is proposed, where various games are considered, which produce different kinds of opinion formation dynamics.
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Urban street networks: a comparative analysis of ten European cities

Emanuele Strano, +5 more
- 01 Nov 2012 - 
TL;DR: In this article, the structural properties of the street networks of ten different European cities using their primal representation are investigated, and a set of centrality measures highlighting differences and similarities among cases are presented.