Recent results from the SocioPatterns collaboration will be presented at the Epidemics3 conference in Boston, USA (Nov. 29th – Dec. 2nd, 2011).

Ciro Cattuto will give a talk titled “Close encounters in a pediatric ward: Measuring face-to-face proximity and mixing patterns with wearable sensors”, and two posters will as well be presented.

A new SocioPatterns dataset is now available for download. We are releasing to the public a high-resolution time-resolved network of human contact, gathered at an academic conference. If you have questions about these data, please do not hesitate to contact us!

A new paper has just been published in PLoS ONE, on the properties of contact patterns between children in a primary school. Schools are epidemiologically important environments, and access to empirical contact patterns can empower modeling efforts as well as design strategies for containing the spread of infectious diseases. The paper reports on our first large-scale deployment in a school environment.

A new study of ours has been published in BMC Medicine, with a commentary by Sally Blower and Myong-Hyun Go. In this paper we simulated a SEIR process on the dynamical network of human proximity recorded through the  SocioPatterns sensing platform. We report on the implications of using high-resolution dynamic social network data on modeling epidemic processes.

A new paper published in Ad Hoc Networks reports on our investigation of data diffusion on ad hoc networks considering a real-world dynamical network of human proximity obtained with the SocioPatterns sensing platform. In this paper, we propose a new way of measuring delivery times of messages which allows us to deal with non-stationary situations in ad hoc networks and to obtain a robust characterization of data dissemination. This new approach is useful to set constraints for generic processes of data dissemination, as well as to validate established models of human mobility and proximity that are frequently used to simulate realistic behaviors.