J. Read, W. Edmunds, S. Riley, J. Lessler, and D. Cummings, Close encounters of the infectious kind: methods to measure social mixing behaviour, Epidemiology and Infection, vol.5, issue.12, pp.2117-2130, 2012.
DOI : 10.3201/eid1211.060426

H. Bernard, R. Fischer, R. Mikolajczyk, M. Kretzschmar, and M. Wildner, Nurses??? Contacts and Potential for Infectious Disease Transmission, Emerging Infectious Diseases, vol.15, issue.9, pp.1438-1444, 2009.
DOI : 10.3201/eid1509.081475

W. Edmunds, O. Callaghan, C. Nokes, and D. , Who mixes with whom? A method to determine the contact patterns of adults that may lead to the spread of airborne infections, Proceedings of the Royal Society B: Biological Sciences, vol.264, issue.1384, pp.949-57, 1997.
DOI : 10.1098/rspb.1997.0131

J. Read, K. Eames, and W. Edmunds, Dynamic social networks and the implications for the spread of infectious disease, Journal of The Royal Society Interface, vol.28, issue.1, p.18319209, 2008.
DOI : 10.1038/30918

J. Mossong, N. Hens, M. Jit, P. Beutels, K. Auranen et al., Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases, PLoS Medicine, vol.19, issue.3, p.18366252, 2008.
DOI : 10.1371/journal.pmed.0050074.sd001

R. Mikolajczyk, M. Akmatov, S. Rastin, and M. Kretzschmar, Social contacts of school children and the transmission of respiratory-spread pathogens, Epidemiology and Infection, vol.12, issue.06, pp.813-822, 2008.
DOI : 10.1017/S0950268805004528

L. Danon, T. House, J. Read, and M. Keeling, Social encounter networks: collective properties and disease transmission, Journal of The Royal Society Interface, vol.272, issue.1, pp.2826-2833, 2012.
DOI : 10.1016/j.jtbi.2010.12.009

L. Danon, J. Read, T. House, M. Vernon, and M. Keeling, Social encounter networks: characterizing Great Britain, Proceedings of the Royal Society B: Biological Sciences, vol.438, issue.7066, p.23804621, 2013.
DOI : 10.1038/nature04153

A. Conlan, K. Eames, J. Gage, J. Kirchbach, J. Ross et al., Measuring social networks in British primary schools through scientific engagement, Proceedings of the Royal Society B: Biological Sciences, vol.40, issue.11, p.21047859, 2011.
DOI : 10.1111/j.1440-1754.2004.00486.x

T. Smieszek, E. Burri, R. Scherzinger, and R. Scholz, Collecting close-contact social mixing data with contact diaries: reporting errors and biases, Epidemiology and Infection, vol.140, issue.04, pp.744-752, 2012.
DOI : 10.1371/journal.pone.0011596

T. Smieszek, V. C. Barclay, I. Seeni, J. Rainey, H. Gao et al., How should social mixing be measured: comparing web-based survey and sensor-based methods, BMC Infectious Diseases, vol.8, issue.Suppl 5, pp.136-146, 2014.
DOI : 10.1186/1471-2458-8-61

S. Eubank, H. Guclu, V. Kumar, M. Marathe, A. Srinivasan et al., Modelling disease outbreaks in realistic urban social networks, Nature, vol.202, issue.6988, pp.180-184, 2004.
DOI : 10.1103/PhysRevE.68.026121

F. Iozzi, F. Trusiano, M. Chinazzi, F. Billari, E. Zagheni et al., Little Italy: An Agent-Based Approach to the Estimation of Contact Patterns- Fitting Predicted Matrices to Serological Data, PLoS Computational Biology, vol.259, issue.12, p.21152004, 2010.
DOI : 10.1371/journal.pcbi.1001021.s004

L. Fumanelli, M. Ajelli, P. Manfredi, A. Vespignani, and S. Merler, Inferring the Structure of Social Contacts from Demographic Data in the Analysis of Infectious Diseases Spread, PLoS Computational Biology, vol.8, issue.9, p.23028275, 2012.
DOI : 10.1371/journal.pcbi.1002673.s003

P. Hui, A. Chaintreau, J. Scott, R. Gass, J. Crowcroft et al., Pocket switched networks and human mobility in conference environments, Proceeding of the 2005 ACM SIGCOMM workshop on Delay-tolerant networking , WDTN '05, pp.244-251, 2005.
DOI : 10.1145/1080139.1080142

O. Neill, E. Kostakos, V. Kindberg, T. , F. G. Schieck et al., Instrumenting the city: developing methods for observing and understanding the digital cityscape, Lecture Notes in Computer Science, vol.4206, pp.315-322, 1007.

A. Pentland, Honest signals, Proceedings of the 19th ACM international conference on Multimedia, MM '11, 2008.
DOI : 10.1145/2072298.2072374

M. Salathé, M. Kazandjieva, J. W. Lee, P. Levis, M. W. Feldman et al., A high-resolution human contact network for infectious disease transmission, Proceedings of the National Academy of Sciences, vol.107, issue.51, pp.22020-22025, 2010.
DOI : 10.1073/pnas.1009094108

M. Hashemian, K. Stanley, and N. Osgood, Flunet: Automated tracking of contacts during flu season: Proceedings of the 6th International workshop on Wireless Network Measurements, pp.1-3, 2010.

. Sociopatterns-website, Available: http://www.sociopatterns.org, 2015.

C. Cattuto, W. Van-den-broeck, A. Barrat, V. Colizza, J. Pinton et al., Dynamics of Person-to-Person Interactions from Distributed RFID Sensor Networks, PLoS ONE, vol.41, issue.7, p.20657651, 2010.
DOI : 10.1371/journal.pone.0011596.s007

URL : https://hal.archives-ouvertes.fr/hal-00503275

L. Isella, J. Stehlé, A. Barrat, C. Cattuto, J. Pinton et al., What's in a crowd? Analysis of face-to-face behavioral networks, Journal of Theoretical Biology, vol.271, issue.1, pp.166-180, 2011.
DOI : 10.1016/j.jtbi.2010.11.033

T. Hornbeck, D. Naylor, A. Segre, G. Thomas, T. Herman et al., Using Sensor Networks to Study the Effect of Peripatetic Healthcare Workers on the Spread of Hospital-Associated Infections, Journal of Infectious Diseases, vol.206, issue.10, p.23045621, 2012.
DOI : 10.1093/infdis/jis542

J. Fournet and A. Barrat, Contact Patterns among High School Students, PLoS ONE, vol.59, issue.9, p.25226026, 2014.
DOI : 10.1371/journal.pone.0107878.s001

URL : https://hal.archives-ouvertes.fr/hal-01065922

A. Stopczynski, V. Sekara, P. Sapiezynski, A. Cuttone, M. Madsen et al., Measuring Large-Scale Social Networks with High Resolution, PLoS ONE, vol.28, issue.4, 2014.
DOI : 10.1371/journal.pone.0095978.g015

T. Obadia, R. Silhol, L. Opatowski, L. Temime, J. Legrand et al., Detailed Contact Data and the Dissemination of Staphylococcus aureus in Hospitals, PLOS Computational Biology, vol.74, issue.3, p.25789632, 2015.
DOI : 10.1371/journal.pcbi.1004170.s002

URL : https://hal.archives-ouvertes.fr/hal-01134050

D. Toth, M. Leecaster, W. Pettey, A. Gundlapalli, H. Gao et al., The role of heterogeneity in contact timing and duration in network models of influenza spread in schools, Journal of The Royal Society Interface, vol.12, issue.108, 2015.
DOI : 10.1017/S0950268812000842

K. Van-kerckhove, N. Hens, W. Edmunds, and K. Eames, The Impact of Illness on Social Networks: Implications for Transmission and Control of Influenza, American Journal of Epidemiology, vol.178, issue.11, pp.1655-1662, 2013.
DOI : 10.1093/aje/kwt196

D. Paulhus and S. Vazire, The self-report method. Handbook of research methods in personality psychology, pp.224-239, 2007.

H. Bernard, P. Killworth, D. Kronenfeld, and L. Sailer, The problem of informant accuracy: The validity of retrospective data. Annual review of anthropology, pp.495-517, 1984.

F. Collopy, Biases in Retrospective Self-Reports of Time Use: An Empirical Study of Computer Users, Management Science, vol.42, issue.5, pp.758-767, 1996.
DOI : 10.1287/mnsc.42.5.758

M. Génois, C. Vestergaard, C. Cattuto, and A. Barrat, Compensating for population sampling in simulations of epidemic spread on temporal contact networks, Nature Communications, vol.05, 2015.
DOI : 10.1103/PhysRevE.83.066113

J. Moreno, Who shall survive? Foundations of sociometry, group psychotherapy and sociodrama, 1953.

D. Lazer, A. Pentland, A. Adamic, S. Aral, A. Barabási et al., Life in the network: the coming age of computational social science, Science, vol.323, 2009.

A. Barrat, C. Cattuto, M. Szomszor, W. Van-den-broeck, and H. Alani, Social Dynamics in Conferences: Analyses of Data from the Live Social Semantics Application, Proceedings of the 9th International Semantic Web Conference ISWC, 2010.
DOI : 10.1017/CBO9780511815478

URL : https://hal.archives-ouvertes.fr/hal-00525936

M. Mcpherson, L. Smith-lovin, and J. Cook, Birds of a Feather: Homophily in Social Networks, Annual Review of Sociology, vol.27, issue.1, pp.415-444, 2001.
DOI : 10.1146/annurev.soc.27.1.415

J. Stehlé, F. Charbonnier, T. Picard, C. Cattuto, and A. Barrat, Gender homophily from spatial behavior in a primary school: A sociometric study, Social Networks, vol.35, issue.4, 2013.
DOI : 10.1016/j.socnet.2013.08.003

A. Barrat, C. Cattuto, V. Colizza, F. Gesualdo, L. Isella et al., Empirical temporal networks of face-to-face human interactions, The European Physical Journal Special Topics, vol.9, issue.6, pp.2013-01927, 2013.
DOI : 10.1140/epjst/e2013-01927-7

URL : https://hal.archives-ouvertes.fr/hal-00861907

A. Barrat, C. Cattuto, A. Tozzi, P. Vanhems, and N. Voirin, Measuring contact patterns with wearable sensors: methods, data characteristics and applications to data-driven simulations of infectious diseases, Clinical Microbiology and Infection, vol.20, issue.1, pp.10-16, 2014.
DOI : 10.1111/1469-0691.12472

URL : https://hal.archives-ouvertes.fr/hal-00921838

T. Karagiannis, L. Boudec, J. Vojnovic, and M. , Power law and exponential decay of inter contact times between mobile devices, Proceedings of the 13th annual ACM international conference on Mobile computing and networking , MobiCom '07, 2007.
DOI : 10.1145/1287853.1287875

A. Scherrer, P. Borgnat, E. Fleury, J. Guillaume, and C. Robardet, Description and simulation of dynamic mobility networks, Computer Networks, vol.52, issue.15, 2008.
DOI : 10.1016/j.comnet.2008.06.007

URL : https://hal.archives-ouvertes.fr/inria-00397375

A. Barabási, Bursts: The Hidden Pattern Behind Everything We Do, 2010.

L. Gauvin, A. Panisson, A. Barrat, and C. Cattuto, Revealing latent factors of temporal networks for mesoscale intervention in epidemic spread, 2015.

G. Hyett, Validation of Diary Records of Telephone Calling Behavior The Recall Method in Social Surveys, pp.136-138, 1979.

R. Lanyon and L. Goodstein, Personality Assessment, Annual Review of Psychology, vol.35, issue.1, 1997.
DOI : 10.1146/annurev.ps.35.020184.003315

V. Gemmetto, A. Barrat, and C. Cattuto, Mitigation of infectious disease at school: targeted class closure vs school closure, BMC Infectious Diseases, vol.9, issue.1, p.695, 2014.
DOI : 10.1371/journal.pone.0086028

URL : https://hal.archives-ouvertes.fr/hal-01238750