D. J. Watts, A twenty-first century science, Nature, vol.445, issue.7127, p.489, 2007.
DOI : 10.1038/445489a

A. Vespignani, Predicting the Behavior of Techno-Social Systems, Science, vol.325, issue.5939, pp.425-428, 2009.
DOI : 10.1126/science.1171990

G. Chowell, J. Hyman, S. Eubank, and C. Castillo-chavez, Scaling laws for the movement of people between locations in a large city, Physical Review E, vol.68, issue.6, p.66102, 2003.
DOI : 10.1103/PhysRevE.68.066102

A. Barrat, M. Barthélemy, R. Pastor-satorras, and A. Vespignani, The architecture of complex weighted networks, Proc. Nat. Acad. Sci. USA 101, pp.3747-3752, 2004.
DOI : 10.1073/pnas.0400087101

URL : https://hal.archives-ouvertes.fr/hal-00013475

D. Brockmann, L. Hufnagel, and T. Geisel, The scaling laws of human travel, Nature, vol.6, issue.7075, pp.462-465, 2006.
DOI : 10.1038/nature04292

M. C. Gonzalez, C. A. Hidalgo, and A. Barabasi, Understanding individual human mobility patterns, Nature, vol.89, issue.7196, pp.779-782, 2008.
DOI : 10.1038/nature06958

C. Song, Z. Qu, N. Blumm, and A. Barabási, Limits of Predictability in Human Mobility, Science, vol.327, issue.5968, pp.1018-1021, 2010.
DOI : 10.1126/science.1177170

J. P. Bagrow and Y. Lin, Mesoscopic Structure and Social Aspects of Human Mobility, PLoS ONE, vol.406, issue.947, p.37676, 2012.
DOI : 10.1371/journal.pone.0037676.s001

T. Louail, From mobile phone data to the spatial structure of cities, Scientific Reports, vol.9, p.5276, 2014.
DOI : 10.1038/srep05276

URL : https://hal.archives-ouvertes.fr/hal-01086156

C. Ratti, R. M. Pulselli, S. Williams, and D. Frenchman, Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis, Environment and Planning B: Planning and Design, vol.35, issue.5, pp.727-748, 2006.
DOI : 10.1068/b32047

J. Reades, F. Calabrese, A. Sevtsuk, and C. Ratti, Cellular Census: Explorations in Urban Data Collection, IEEE Pervasive Computing, vol.6, issue.3, pp.30-38, 2007.
DOI : 10.1109/MPRV.2007.53

V. Soto and E. Frías-martínez, Automated land use identification using cell-phone records, Proceedings of the 3rd ACM international workshop on MobiArch, HotPlanet '11, pp.17-22, 2011.
DOI : 10.1145/2000172.2000179

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.207.5742

T. Pei, S. Sobolevsky, C. Ratti, S. L. Shaw, and C. Zhou, A new insight into land use classification based on aggregated mobile phone data. ArXiv eprint arxiv:1310, p.6129, 2013.

J. Toole, M. Ulm, M. González, and D. Bauer, Inferring land use from mobile phone activity . Paper presented at, The ACM SIGKDD International Workshop on Urban Computing, Beijing . Place of publication: Proceedings of the ACM SIGKDD International Workshop on Urban Computing, pp.10-1145, 2012.
DOI : 10.1145/2346496.2346498

URL : http://arxiv.org/abs/1207.1115

V. Frías-martínez, V. Soto, H. Hohwald, and E. Frías-martínez, Characterizing urban landscapes using geolocated tweets. Paper presented at: SOCIALCOM-PASSAT '12, Privacy, Security, International Conference on Risk and Trust (PASSAT) and 2012 International Confernece on Social Computing (SocialCom), Amster- dam. Place of publication: Proceedings of the Privacy, Security, 2012 International Conference on Risk and Trust (PASSAT) and 2012 International Confernece on Social Computing (SocialCom), doi:10.1109/SocialCom-PASSAT.2012, p.19, 2012.

M. Lenormand, Cross-Checking Different Sources of Mobility Information, PLoS ONE, vol.20, issue.8, p.105184, 2014.
DOI : 10.1371/journal.pone.0105184.s001

URL : https://hal.archives-ouvertes.fr/hal-01086158

A. Noulas, S. Scellato, R. Lambiotte, M. Pontil, and C. Mascolo, A Tale of Many Cities: Universal Patterns in Human Urban Mobility, PLoS ONE, vol.106, issue.5, p.37027, 2012.
DOI : 10.1371/journal.pone.0037027.t001

B. Hawelka, Geo-located Twitter as proxy for global mobility patterns, Cartography and Geographic Information Science, vol.42, issue.4, pp.260-271, 2013.
DOI : 10.2307/2087063

M. Lenormand, A. Tugores, P. Colet, and J. J. Ramasco, Tweets on the Road, PLoS ONE, vol.38, issue.5, p.105407, 2014.
DOI : 10.1371/journal.pone.0105407.s001

URL : https://hal.archives-ouvertes.fr/hal-01086159

D. Liben-nowell, J. Novak, R. Kumar, P. Raghavan, and A. Tomkins, Geographic routing in social networks, Proc. Natl. Acad. Sci. USA, pp.11623-11628, 2005.
DOI : 10.1073/pnas.0503018102

J. Onnela, Structure and tie strengths in mobile communication networks, Proc. Natl. Acad. Sci. USA, pp.7332-7336, 2007.
DOI : 10.1073/pnas.0610245104

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1863470

A. Java, X. Song, T. Finin, and B. Tseng, Why we twitter, Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis , WebKDD/SNA-KDD '07, pp.56-65, 2007.
DOI : 10.1145/1348549.1348556

B. A. Huberman, D. M. Romero, and F. Wu, Social networks that matter: Twitter under the microscope, First Monday, vol.14, pp.1-2, 2008.

N. Eagle, A. S. Pentland, and D. Lazer, From the Cover: Inferring friendship network structure by using mobile phone data, Proc. Natl. Acad. Sci. USA, pp.15274-15278, 2009.

E. Ferrara, A large-scale community structure analysis in Facebook, EPJ Data Science, vol.6, issue.4, 2012.
DOI : 10.1140/epjds9

P. A. Grabowicz, J. J. Ramasco, B. Goncalves, and V. M. Eguiluz, Entangling Mobility and Interactions in Social Media, PLoS ONE, vol.36, issue.3, p.92196, 2014.
DOI : 10.1371/journal.pone.0092196.s010

URL : https://hal.archives-ouvertes.fr/hal-01113411

L. Backstrom, E. Sun, and C. Marlow, Find me if you can, Proceedings of the 19th international conference on World wide web, WWW '10, pp.61-70, 2010.
DOI : 10.1145/1772690.1772698

F. Calabrese, Z. Smoreda, V. D. Blondel, and C. Ratti, Interplay between Telecommunications and Face-to-Face Interactions: A Study Using Mobile Phone Data, PLoS ONE, vol.18, issue.7, p.20814, 2011.
DOI : 10.1371/journal.pone.0020814.s005

S. Phithakkitnukoon, Z. Smoreda, and P. Olivier, Socio-Geography of Human Mobility: A Study Using Longitudinal Mobile Phone Data, PLoS ONE, vol.33, issue.6, p.39253, 2012.
DOI : 10.1371/journal.pone.0039253.s010

E. Ferrara, O. Varol, F. Menczer, and A. Flammini, Traveling trends, Proceedings of the first ACM conference on Online social networks, COSN '13, pp.213-222, 2013.
DOI : 10.1145/2512938.2512956

P. A. Grabowicz, J. J. Ramasco, E. Moro, J. M. Pujol, and V. M. Eguiluz, Social Features of Online Networks: The Strength of Intermediary Ties in Online Social Media, PLoS ONE, vol.6, issue.2008, p.29358, 2012.
DOI : 10.1371/journal.pone.0029358.s015

D. Mocanu, The Twitter of Babel: Mapping World Languages through Microblogging Platforms, PLoS ONE, vol.37, issue.4, p.61981, 2013.
DOI : 10.1371/journal.pone.0061981.t001

URL : https://hal.archives-ouvertes.fr/hal-00798497

L. A. Rvachev and I. M. Longini, A mathematical model for the global spread of influenza, Mathematical Biosciences, vol.75, issue.1, pp.3-22, 1985.
DOI : 10.1016/0025-5564(85)90064-1

R. F. Grais, H. Ellis, J. Glass, and G. E. , Assessing the impact of airline travel on the geographic spread of pandemic influenza, European Journal of Epidemiology, vol.18, issue.11, pp.1065-1072, 2003.
DOI : 10.1023/A:1026140019146

S. Eubank, Modelling disease outbreaks in realistic urban social networks, Nature, vol.202, issue.6988, pp.180-184, 2004.
DOI : 10.1103/PhysRevE.68.026121

L. Hufnagel, D. Brockmann, and T. Geisel, Forecast and control of epidemics in a globalized world, Proc. Natl. Acad. Sci. (USA), pp.15124-15129, 2004.
DOI : 10.1073/pnas.0308344101

I. M. Longini, Containing Pandemic Influenza at the Source, Science, vol.309, issue.5737, pp.1083-1087, 2005.
DOI : 10.1126/science.1115717

N. M. Ferguson, Strategies for containing an emerging influenza pandemic in Southeast Asia, Nature, vol.7, issue.7056, pp.209-214, 2005.
DOI : 10.1002/sim.1912

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. Barthélemy, A. J. Valleron, and A. Vespignani, Modeling the Worldwide Spread of Pandemic Influenza: Baseline Case and Containment Interventions, PLoS Medicine, vol.438, issue.1, p.13, 2007.
DOI : 10.1371/journal.pmed.0040013.sv004

URL : https://hal.archives-ouvertes.fr/hal-00126956

M. L. Ciofi-degli-atti, Mitigation Measures for Pandemic Influenza in Italy: An Individual Based Model Considering Different Scenarios, PLoS ONE, vol.2, issue.1, p.1790, 2008.
DOI : 10.1371/journal.pone.0001790.s016

D. Balcan, Multiscale mobility networks and the spatial spreading of infectious diseases, Proc. Natl. Acad. Sci. USA, pp.21484-21489, 2009.
DOI : 10.1073/pnas.0906910106

P. Bajardi, Human Mobility Networks, Travel Restrictions, and the Global Spread of 2009 H1N1 Pandemic, PLoS ONE, vol.96, issue.1, p.16591, 2011.
DOI : 10.1371/journal.pone.0016591.s001

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

S. Meloni, Modeling human mobility responses to the large-scale spreading of infectious diseases, Scientific Reports, vol.102, issue.1, p.62, 2011.
DOI : 10.1073/pnas.0407994102

M. Tizzoni, Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm, BMC Medicine, vol.7, issue.1, p.165, 2012.
DOI : 10.1023/B:HCMS.0000020652.38181.da

URL : https://hal.archives-ouvertes.fr/inserm-00796005

C. Poletto, M. Tizzoni, and V. Colizza, Heterogeneous length of stay of hosts??? movements and spatial epidemic spread, Scientific Reports, vol.14, p.476, 2012.
DOI : 10.1038/srep00476

J. Wallinga, P. Teunis, and M. Kretzschmar, Using Data on Social Contacts to Estimate Age-specific Transmission Parameters for Respiratory-spread Infectious Agents, American Journal of Epidemiology, vol.164, issue.10, pp.936-944, 2006.
DOI : 10.1093/aje/kwj317

F. Brauer, Epidemic Models with Heterogeneous Mixing and Treatment, Bulletin of Mathematical Biology, vol.285, issue.7, pp.1869-1885, 2008.
DOI : 10.1007/s11538-008-9326-1

H. Nishiura, Travel and Age of Influenza A (H1N1) 2009 Virus Infection, Journal of Travel Medicine, vol.17, issue.4, pp.269-270, 2010.
DOI : 10.1111/j.1708-8305.2010.00418.x

H. Nishiura, A. R. Cook, and B. J. Cowling, Assortativity and the probability of epidemic extinction: A case study of pandemic influenza a (H1N1-2009) Interdisciplinary Perspectives on Infectious Diseases, p.194507, 2011.

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.1001109, 2011.
DOI : 10.1371/journal.pcbi.1001109.s002

A. Apolloni, C. Poletto, and V. Colizza, Age-specific contacts and travel patterns in the spatial spread of 2009 H1N1 influenza pandemic, BMC Infectious Diseases, vol.8, issue.9, pp.1-18, 2013.
DOI : 10.1371/journal.pcbi.1002673

URL : https://hal.archives-ouvertes.fr/inserm-00820454

A. Apolloni, C. Poletto, J. J. Ramasco, P. Jensen, and V. Colizza, Metapopulation epidemic models with heterogeneous mixing and travel behaviour, Theoretical Biology and Medical Modelling, vol.11, issue.1, 2014.
DOI : 10.1186/1742-4682-7-1

URL : https://hal.archives-ouvertes.fr/inserm-00940428

T. F. Golob and M. G. Mcnally, A model of activity participation and travel interactions between household heads, Transportation Research Part B: Methodological, vol.31, issue.3, pp.177-194, 1997.
DOI : 10.1016/S0191-2615(96)00027-6

M. M. Hamed and F. L. Mannering, Modeling Travelers' Postwork Activity Involvement: Toward a New Methodology, Transportation Science, vol.27, issue.4, pp.381-394, 1993.
DOI : 10.1287/trsc.27.4.381

M. Bianco and C. Lawson, Trip chaining, childcare and personal safety: critical issues in women's travel behavior, Proceedings from the second national conference on women's travel issues, 1996.
DOI : 10.1037/e736202011-010

M. Mcpherson, L. S. Lovin, and J. M. 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. Stehle, 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, pp.604-613, 2013.
DOI : 10.1016/j.socnet.2013.08.003

URL : https://hal.archives-ouvertes.fr/hal-00839055

S. Sobolevsky, Mining Urban Performance: Scale-Independent Classification of Cities Based on Individual Economic Transactions, Proceedings of ASE BigDataScience 2014 conference, 2014.

J. A. Hartigan, M. A. Wong, and A. Algorithm, Algorithm AS 136: A K-Means Clustering Algorithm, Applied Statistics, vol.28, issue.1, pp.100-108, 1979.
DOI : 10.2307/2346830

T. Cali´nskicali´nski and J. Harabasz, A Dendrite Method for Cluster Analysis, Communications in Statistics - Simulation and Computation, vol.3, issue.1, pp.1-27, 1974.
DOI : 10.1080/03610917408548446

H. B. Mann and D. R. Whitney, On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other, The Annals of Mathematical Statistics, vol.18, issue.1, pp.50-60, 1947.
DOI : 10.1214/aoms/1177730491

G. W. Brown and A. M. Mood, On Median Tests for Linear Hypotheses, Proceedings of the Second Berkeley Symposium on Mathematical Statistics and Probability, pp.159-166, 1951.