The architecture of complex weighted networks.
- A. Barrat, M. Barthelemy, R. Pastor-Satorras, A. Vespignani
- Computer ScienceProceedings of the National Academy of Sciences…
- 18 November 2003
This work studies the scientific collaboration network and the world-wide air-transportation network, which are representative examples of social and large infrastructure systems, respectively, and defines appropriate metrics combining weighted and topological observables that enable it to characterize the complex statistical properties and heterogeneity of the actual strength of edges and vertices.
Dynamical Processes on Complex Networks
- A. Barrat, Marc Barthlemy, Alessandro Vespignani
- Computer Science
- 1 October 2008
A new and recent account presents a comprehensive explanation of the effect of complex connectivity patterns on dynamical phenomena in a vast number of everyday systems that can be represented as large complex networks.
What's in a crowd? Analysis of face-to-face behavioral networks
- L. Isella, J. Stehlé, A. Barrat, C. Cattuto, J. Pinton, W. V. D. Broeck
- Computer ScienceJournal of Theoretical Biology
- 7 June 2010
Decentralized Privacy-Preserving Proximity Tracing
- C. Troncoso, Mathias Payer, J. Pereira
- Computer ScienceIEEE Data Engineering Bulletin
- 25 May 2020
This system, referred to as DP3T, provides a technological foundation to help slow the spread of SARS-CoV-2 by simplifying and accelerating the process of notifying people who might have been exposed to the virus so that they can take appropriate measures to break its transmission chain.
High-Resolution Measurements of Face-to-Face Contact Patterns in a Primary School
- J. Stehlé, N. Voirin, P. Vanhems
- MedicinePLoS ONE
- 16 August 2011
The results can help define a prioritization of control measures based on preventive measures, case isolation, classes and school closures, that could reduce the disruption to education during epidemics.
Dynamics of Person-to-Person Interactions from Distributed RFID Sensor Networks
- C. Cattuto, W. V. D. Broeck, A. Barrat, V. Colizza, J. Pinton, Alessandro Vespignani
- Computer SciencePLoS ONE
- 15 July 2010
A scalable experimental framework for gathering real-time data resolving face-to-face social interactions with tunable spatial and temporal granularities is presented and shows an interesting super-linear behavior, which indicates the possibility of defining super-connectors both in the number and intensity of connections.
Contact Patterns in a High School: A Comparison between Data Collected Using Wearable Sensors, Contact Diaries and Friendship Surveys
- R. Mastrandrea, Julie Fournet, A. Barrat
- PsychologyPLoS ONE
- 11 June 2015
It is found that most short contacts are not reported in diaries while long contacts have a large reporting probability, and that the durations of contacts tend to be overestimated in the diaries, and the overall structure of the contact network is correctly captured by both networks of self-reported contacts and of friendships.
On the properties of small-world network models
Abstract:We study the small-world networks recently introduced by Watts and Strogatz [Nature 393, 440 (1998)], using analytical as well as numerical tools. We characterize the geometrical properties…
Modeling the Worldwide Spread of Pandemic Influenza: Baseline Case and Containment Interventions
- V. Colizza, A. Barrat, M. Barthelemy, A. Valleron, Alessandro Vespignani
- MedicinePLoS Medicine
- 1 January 2007
The inclusion of air transportation is crucial in the assessment of the occurrence probability of global outbreaks and it is demonstrated that the more cooperative the strategy, the more effective are the containment results in all regions of the world, including those countries that made part of their resources available for global use.
Contact Patterns among High School Students
- Julie Fournet, A. Barrat
- BiologyPLoS ONE
- 16 September 2014
The interest of the present analysis and data sets for various fields are discussed, including in social sciences in to better understand and model human behavior and interactions in different contexts, and in epidemiology in order to inform models describing the spread of infectious diseases and design targeted containment strategies.
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