Complex Networks Collaboratory
Welcome to the CX-NETS web-site. This is the virtual collaboratory of three research groups that despite their far apart geographical locations pursue the same research agenda in close collaboration. The web-site is also intended as an information exchange points with links to conferences, tools and references useful for the network science community. Research keywords: Complex networks, Internet, WWW, Epidemic modeling, Large-scale infrastructures, non-equilibrium statistical physics, complex systems, self-organization. New paper in PLoS ONE
High-Resolution Measurements of Face-to-Face Contact Patterns in a Primary School
New paper in BMC MedicineSimulation of an SEIR infectious disease model on the dynamic contact network of conference attendees J. Stehlé, N. Voirin, A. Barrat, C. Cattuto, V. Colizza, L. Isella, C. Regis, J.-F. Pinton, N. Khanafer, W. Van den Broeck, P. Vanhems BMC Medicine 9:87 (2011).
New paper in Nature Physics
Phase transitions in contagion processes mediated by recurrent mobility patterns
Phase tran New papers in PLoS ONE
Dynamical Patterns of Cattle Trade Movements.
Close Encounters in a Pediatric Ward: Measuring Face-to-Face Proximity and Mixing Patterns with Wearable Sensors
Human Mobility Networks, Travel Restrictions, and the Global Spread of 2009 H1N1 Pandemic
Infectious SocioPatterns Poster on SocioPatterns.org
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sition in susceptible-infected-recovered epidemics mediated by US commuting flows. A phase transition takes place as we vary a global scaling factor of the commuting rates. In the subcritical regime only a small fraction of counties get infected while in the supercritical regime an appreciable fraction experiences the disease outbreak. The maps illustrate these regimes by projecting the cumulative number of infected cases. Simulations start with a small number of infected persons in Los Angeles County.
