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Co-Betweenness: A Pairwise Notion of Centrality
Eric D. Kolaczyk, David B. Chua, Marc Barthelemy
Betweenness centrality is a metric that seeks to quantify a sense of the importance of a vertex in a network graph in terms of its "control" on the distribution of information alon…
Modeling urban street patterns
Marc Barthelemy, Alessandro Flammini
Urban streets patterns form planar networks whose empirical properties cannot be accounted for by simple models such as regular grids or Voronoi tesselations. Striking statistical…
Arrival Time Statistics in Global Disease Spread
Aurelien Gautreau, Alain Barrat, Marc Barthelemy
Metapopulation models describing cities with different populations coupled by the travel of individuals are of great importance in the understanding of disease spread on a large sc…
Modeling the Worldwide Spread of Pandemic Influenza: Baseline Case and Containment Interventions
Vittoria Colizza, Alain Barrat, Marc Barthelemy +2
We present a study of the worldwide spread of a pandemic influenza and its possible containment at a global level taking into account all available information on air travel. We st…