Temporal networks of human (face-to-face) interactions Alain Barrat Centre de Physique Théorique, Marseille, France ISI Foundation, Turin, Italy http://www.cpt.univ-mrs.fr/~barrat http://www.sociopatterns.org [email protected] • Introduction • SocioPatterns – infrastructure and resulting data – data main features, comparing datasets • Representing data, finding structures – aggregation procedures, temporal motifs, NTF, detecting timescales, temporal cores, backbones • Models – Models of temporal networks – Models of f2f interactions – Null models for temporal networks • Processes on temporal networks • Using data – studying human behaviour – data-driven simulations of epidemic spreading: – how much details? – interventions • Using incomplete data or different proxies New technologies digital traces of human behavior fitbit.com New technologies digital traces of human behavior proxies of human behaviour and interactions in different contexts, often with temporal resolution Measuring different types of interactions phone calls • messaging • online interactions • co-presence, proximity • face-to-face contacts • Proxies of contact networks • time scale indoors • spatial range high-res • coverage/sampling sparseness • type of contact • biases D I F R sensing mobiles strategy geographic low-res d i a ri no indoors e s • social network reconcile scales Challenge: recall biases • combine proxies Surveys/diaries 7290 participants "Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases”, Mossong et al., PLOS Medicine (2008) Surveys/diaries "Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases”, Mossong et al., PLOS Medicine (2008)
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