activity
20012005
most citedPrediction and predictability of global epidemics: the role of the airline transportation network

1.2k citations · 1.4k across the 10 of their papers we have counts for

collaborators

13 papers

q-bio.OT20051.2k cited

Prediction and predictability of global epidemics: the role of the airline transportation network

Vittoria Colizza, Alain Barrat, Marc Barthelemy +1

The systematic study of large-scale networks has unveiled the ubiquitous presence of connectivity patterns characterized by large scale heterogeneities and unbounded statistical fl…

physics.soc-ph2005130 cited

The effects of spatial constraints on the evolution of weighted complex networks

Alain Barrat, Marc Barthelemy, Alessandro Vespignani

Motivated by the empirical analysis of the air transportation system, we define a network model that includes geographical attributes along with topological and weight (traffic) pr…

cond-mat.other2005

Studying the Emerging Global Brain: Analyzing and Visualizing the Impact of Co-Authorship Teams

Katy Börner, Luca Dall'Asta, Weimao Ke +1

This paper introduces a suite of approaches and measures to study the impact of co-authorship teams based on the number of publications and their citations on a local and global sc…

cond-mat.dis-nn2004

Dynamical patterns of epidemic outbreaks in complex heterogeneous networks

Marc Barthelemy, Alain Barrat, Romualdo Pastor-Satorras +1

We present a thorough inspection of the dynamical behavior of epidemic phenomena in populations with complex and heterogeneous connectivity patterns. We show that the growth of the…

cond-mat.stat-mech200437 cited

A statistical approach to the traceroute-like exploration of networks: theory and simulations

Luca Dall'Asta, Ignacio Alvarez-Hamelin, Alain Barrat +2

Mapping the Internet generally consists in sampling the network from a limited set of sources by using "traceroute"-like probes. This methodology, akin to the merging of different…

cs.NI2004

Traffic-driven model of the World Wide Web graph

Alain Barrat, Marc Barthelemy, Alessandro Vespignani

We propose a model for the World Wide Web graph that couples the topological growth with the traffic's dynamical evolution. The model is based on a simple traffic-driven dynamics a…