R. Pastor-satorras and A. Vespignani, Epidemic Spreading in Scale-Free Networks, Physical Review Letters, vol.86, issue.14, pp.3200-3203, 2001.
DOI : 10.1103/PhysRevLett.86.3200

A. Lloyd and R. May, EPIDEMIOLOGY: How Viruses Spread Among Computers and People, Science, vol.292, issue.5520, pp.1316-1317, 2001.
DOI : 10.1126/science.1061076

M. Newman, Spread of epidemic disease on networks, Physical Review E, vol.66, issue.1, p.16128, 2002.
DOI : 10.1103/PhysRevE.66.016128

R. Cohen, S. Havlin, and D. Ben-avraham, Efficient Immunization Strategies for Computer Networks and Populations, Physical Review Letters, vol.91, issue.24, p.14683159, 2003.
DOI : 10.1103/PhysRevLett.91.247901

M. Keeling and K. Eames, Networks and epidemic models, Journal of The Royal Society Interface, vol.2, issue.4, pp.295-307, 2005.
DOI : 10.1098/rsif.2005.0051

S. Riley, Large-Scale Spatial-Transmission Models of Infectious Disease, Science, vol.316, issue.5829, pp.1298-1301, 2007.
DOI : 10.1126/science.1134695

V. Colizza, A. Barrat, M. Barthélémy, and A. Vespignani, The role of the airline transportation network in the prediction and predictability of global epidemics, Proceedings of the National Academy of Sciences, vol.103, issue.7, pp.2015-2020, 2006.
DOI : 10.1073/pnas.0510525103

D. Brockmann and D. Helbing, The Hidden Geometry of Complex, Network-Driven Contagion Phenomena, Science, vol.342, issue.6164, p.24337289, 2013.
DOI : 10.1126/science.1245200

S. Riley, Transmission Dynamics of the Etiological Agent of SARS in Hong Kong: Impact of Public Health Interventions, Science, vol.300, issue.5627, pp.1961-1966, 2003.
DOI : 10.1126/science.1086478

J. Eckmann, E. Moses, and D. Sergi, Entropy of dialogues creates coherent structures in e-mail traffic, Proceedings of the National Academy of Sciences, vol.101, issue.40, pp.14333-14337, 2004.
DOI : 10.1073/pnas.0405728101

J. Onnela, J. Saramäki, J. Hyvönen, G. Szabó, and D. Lazer, Structure and tie strengths in mobile communication networks, Proceedings of the National Academy of Sciences, vol.104, issue.18, pp.7332-7336, 2007.
DOI : 10.1073/pnas.0610245104

D. Rybski, S. Buldyrev, S. Havlin, F. Liljeros, and H. Makse, Scaling laws of human interaction activity, Proceedings of the National Academy of Sciences, vol.106, issue.31, pp.12640-12645, 2009.
DOI : 10.1073/pnas.0902667106

A. Gautreau, A. Barrat, and M. Barthélémy, Microdynamics in stationary complex networks, Proceedings of the National Academy of Sciences, vol.106, issue.22, pp.8847-8852, 2009.
DOI : 10.1073/pnas.0811113106

URL : https://hal.archives-ouvertes.fr/hal-00337925

M. Vernon and M. Keeling, Representing the UK's cattle herd as static and dynamic networks, Proceedings of the Royal Society B: Biological Sciences, vol.69, issue.10, pp.469-476, 2009.
DOI : 10.1016/S0966-842X(02)02444-7

C. Cattuto, W. Van-den-broek, A. Barrat, V. Colizza, and J. Pinton, 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. Rocha, F. Liljeros, and P. Holme, Information dynamics shape the sexual networks of Internet-mediated prostitution, Proceedings of the National Academy of Sciences, vol.107, issue.13, pp.5706-5711, 2010.
DOI : 10.1073/pnas.0914080107

M. Salathé, M. Kazandjieva, J. Lee, P. Levis, and M. Feldman, 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

J. Tang, S. Scellato, M. Musolesi, C. Mascolo, and V. Latora, Small-world behavior in time-varying graphs, Physical Review E, vol.81, issue.5, 2010.
DOI : 10.1103/PhysRevE.81.055101

P. Bajardi, A. Barrat, F. Natale, L. Savini, and V. Colizza, Dynamical Patterns of Cattle Trade Movements, PLoS ONE, vol.333, issue.1, p.21625633, 2011.
DOI : 10.1371/journal.pone.0019869.s005

URL : https://hal.archives-ouvertes.fr/hal-00594746

G. Miritello, E. Moro, and R. Lara, Dynamical strength of social ties in information spreading, Physical Review E, vol.83, issue.4, 2011.
DOI : 10.1103/PhysRevE.83.045102

M. Karsai, K. Kaski, A. Barabási, and J. Kertész, Universal features of correlated bursty behaviour, Scientific Reports, vol.58, issue.2, p.22563526, 2012.
DOI : 10.1038/srep00397

P. Holme and J. Saramaki, Temporal networks, Phys Rep, vol.519, 2012.

R. Albert, H. Jeong, and A. Barabási, Error and attack tolerance of complex networks, Nature, vol.1696, issue.6794, pp.378-482, 2000.
DOI : 10.1038/35019019

R. Cohen, K. Erez, D. Ben-avraham, and S. Havlin, Breakdown of the Internet under Intentional Attack, Physical Review Letters, vol.86, issue.16, pp.3682-3685, 2001.
DOI : 10.1103/PhysRevLett.86.3682

L. Freeman, Centrality in social networks conceptual clarification, Social Networks, vol.1, issue.3, pp.215-239, 1979.
DOI : 10.1016/0378-8733(78)90021-7

N. Friedkin, Theoretical Foundations for Centrality Measures, American Journal of Sociology, vol.96, issue.6, pp.1478-1504, 1991.
DOI : 10.1086/229694

P. Holme, Efficient local strategies for vaccination and network attack, Europhysics Letters (EPL), vol.68, issue.6, pp.908-914, 2004.
DOI : 10.1209/epl/i2004-10286-2

M. Kitsak, L. Gallos, S. Havlin, F. Liljeros, and L. Muchnik, Identification of influential spreaders in complex networks, Nature Physics, vol.18, issue.11, pp.888-893, 2010.
DOI : 10.1103/PhysRevLett.89.208701

M. Salathé and J. Jones, Dynamics and Control of Diseases in Networks with Community Structure, PLoS Computational Biology, vol.3, issue.4, p.20386735, 2010.
DOI : 10.1371/journal.pcbi.1000736.s002

F. Natale, L. Savini, A. Giovannini, P. Calistri, and L. Candeloro, Evaluation of risk and vulnerability using a Disease Flow Centrality measure in dynamic cattle trade networks, Preventive Veterinary Medicine, vol.98, issue.2-3, p.21159393, 2011.
DOI : 10.1016/j.prevetmed.2010.11.013

L. Rocha, F. Liljeros, and P. Holme, Simulated Epidemics in an Empirical Spatiotemporal Network of 50,185 Sexual Contacts, PLoS Computational Biology, vol.15, issue.17, p.21445228, 2011.
DOI : 10.1371/journal.pcbi.1001109.s002

A. Galvani and R. May, Epidemiology: Dimensions of superspreading, Nature, vol.33, issue.7066, pp.293-294, 2005.
DOI : 10.1038/438293a

S. Lee, L. Rocha, F. Liljeros, and P. Holme, Exploiting Temporal Network Structures of Human Interaction to Effectively Immunize Populations, PLoS ONE, vol.6, issue.5, p.22586472, 2012.
DOI : 10.1371/journal.pone.0036439.s005

M. Starnini, A. Machens, C. Cattuto, A. Barrat, and R. Pastor-satorras, Immunization strategies for epidemic processes in time-varying contact networks, Journal of Theoretical Biology, vol.337, pp.89-100, 2013.
DOI : 10.1016/j.jtbi.2013.07.004

URL : https://hal.archives-ouvertes.fr/hal-00821794

P. Bajardi, A. Barrat, L. Savini, and V. Colizza, Optimizing surveillance for livestock disease spreading through animal movements, Journal of The Royal Society Interface, vol.388, issue.19, 2012.
DOI : 10.1073/pnas.1000416107

URL : https://hal.archives-ouvertes.fr/hal-00766126

F. Natale, A. Giovannini, L. Savini, D. Palma, and L. Possenti, Network analysis of Italian cattle trade patterns and evaluation of risks for potential disease spread, Preventive Veterinary Medicine, vol.92, issue.4, 2009.
DOI : 10.1016/j.prevetmed.2009.08.026

S. Robinson, M. Everett, and R. Christley, Recent network evolution increases the potential for large epidemics in the British cattle population, Journal of The Royal Society Interface, vol.4, issue.15, pp.669-674, 2007.
DOI : 10.1098/rsif.2007.0214

R. Kao, L. Danon, D. Green, and I. Kiss, Demographic structure and pathogen dynamics on the network of livestock movements in Great Britain, Proceedings of the Royal Society B: Biological Sciences, vol.61, issue.3, pp.1999-2007, 2006.
DOI : 10.1016/j.prevetmed.2003.08.002

B. Sharp and A. Sharp, Loyalty programs and their impact on repeat-purchase loyalty patterns, International Journal of Research in Marketing, vol.14, issue.5, pp.473-86, 1997.
DOI : 10.1016/S0167-8116(97)00022-0

J. Podolny, Market Uncertainty and the Social Character of Economic Exchange, Administrative Science Quarterly, vol.39, issue.3, pp.458-483, 1994.
DOI : 10.2307/2393299

O. Sorenson and D. Waguespack, Social Structure and Exchange: Self-confirming Dynamics in Hollywood, Administrative Science Quarterly, vol.51, issue.4, pp.560-589, 2006.
DOI : 10.2189/asqu.51.4.560

G. Miritello, R. Lara, M. Cebrian, and E. Moro, Limited communication capacity unveils strategies for human interaction, Scientific Reports, vol.2, p.23739519, 1950.
DOI : 10.1038/srep01950

M. Morris and M. Kretzschmar, Concurrent partnerships and the spread of HIV, AIDS, vol.11, issue.5, pp.641-648, 1997.
DOI : 10.1097/00002030-199705000-00012

R. Anderson, R. May, M. Boily, G. Garnett, and J. Rowley, The spread of HIV-1 in Africa: sexual contact patterns and the predicted demographic impact of AIDS, Nature, vol.352, issue.6336, pp.581-589, 1991.
DOI : 10.1038/352581a0

M. Keeling, M. Woolhouse, D. Shaw, L. Matthews, and M. Chase-topping, Dynamics of the 2001 UK Foot and Mouth Epidemic: Stochastic Dispersal in a Heterogeneous Landscape, Science, vol.294, issue.5543, pp.813-817, 2001.
DOI : 10.1126/science.1065973

C. Saegerman, D. Berkvens, and P. Mellor, Bluetongue Epidemiology in the European Union, Emerging Infectious Diseases, vol.14, issue.4, pp.539-544, 2008.
DOI : 10.3201/eid1404.071441

M. Tinsley, F. Lewis, and F. Brülisauer, Network modeling of BVD transmission, Veterinary Research, vol.43, issue.1, p.11, 2012.
DOI : 10.1016/j.vetmic.2009.09.052

R. Anderson and R. May, Infectious Diseases of Humans Dynamics and Control, 1992.

M. Keeling, Models of foot-and-mouth disease, Proceedings of the Royal Society B: Biological Sciences, vol.30, issue.1, pp.1195-12023046, 2004.
DOI : 10.1016/S0167-5877(96)01085-9

T. Gross, D. Dommar, C. Lima, and B. Blasius, Epidemic Dynamics on an Adaptive Network, Physical Review Letters, vol.96, issue.20, p.16803215, 2006.
DOI : 10.1103/PhysRevLett.96.208701

S. Funk, M. Salathé, and V. Jensen, Modelling the influence of human behaviour on the spread of infectious diseases: a review, Journal of The Royal Society Interface, vol.4, issue.50, pp.1247-1256, 2010.
DOI : 10.1007/s10867-008-9060-9

L. Shaw and I. Schwartz, Enhanced vaccine control of epidemics in adaptive networks, Physical Review E, vol.81, issue.4, p.46120, 2010.
DOI : 10.1103/PhysRevE.81.046120

S. Meloni, N. Perra, A. Arenas, S. Gomez, and Y. Moreno, Modeling human mobility responses to the large-scale spreading of infectious diseases, Scientific Reports, vol.102, issue.1, p.22355581, 2011.
DOI : 10.1073/pnas.0407994102

P. Bajardi, C. Poletto, J. Ramasco, M. Tizzoni, and V. Colizza, Human Mobility Networks, Travel Restrictions, and the Global Spread of 2009 H1N1 Pandemic, PLoS ONE, vol.96, issue.1, p.21304943, 2011.
DOI : 10.1371/journal.pone.0016591.s001

URL : https://hal.archives-ouvertes.fr/hal-00562226

J. Stehlé, A. Barrat, and G. Bianconi, Dynamical and bursty interactions in social networks, Physical Review E, vol.81, issue.3, 2010.
DOI : 10.1103/PhysRevE.81.035101

N. Perra, B. Gonçalves, R. Pastor-satorras, and A. Vespignani, Activity driven modeling of time varying networks, Scientific Reports, vol.105, p.22741058, 2012.
DOI : 10.1038/srep00469

M. Starnini, A. Baronchelli, and R. Pastor-satorras, Modeling Human Dynamics of Face-to-Face Interaction Networks, Physical Review Letters, vol.110, issue.16, p.23679648, 2013.
DOI : 10.1103/PhysRevLett.110.168701

M. Kársai, N. Perra, and A. Vespignani, Time varying networks and the weakness of strong ties, Scientific Reports, vol.86, p.24510159, 2014.
DOI : 10.1038/srep04001

L. Rocha and V. Blondel, Bursts of Vertex Activation and Epidemics in Evolving Networks, PLoS Computational Biology, vol.17, issue.(3), p.23555211, 2013.
DOI : 10.1371/journal.pcbi.1002974.s001

P. Holme, Epidemiologically Optimal Static Networks from Temporal Network Data, PLoS Computational Biology, vol.9, issue.7, 2013.
DOI : 10.1371/journal.pcbi.1003142.s005

URL : http://doi.org/10.1371/journal.pcbi.1003142

T. Hoffmann, M. Porter, and R. Lambiotte, Generalized master equations for non-Poisson dynamics on networks, Physical Review E, vol.86, issue.4, 2012.
DOI : 10.1103/PhysRevE.86.046102

B. Ribeiro, N. Perra, and A. Baronchelli, Quantifying the effect of temporal resolution on time-varying networks, Scientific Reports, vol.107, p.24141695, 2013.
DOI : 10.1038/srep03006