A. Vespignani, Modelling dynamical processes in complex socio-technical systems, Nature Physics, vol.237, issue.1, pp.32-39, 2012.
DOI : 10.1371/journal.pone.0016591

Y. Zheng, Trajectory Data Mining, ACM Transactions on Intelligent Systems and Technology, vol.6, issue.3, pp.29-41, 2015.
DOI : 10.1145/2743025

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

C. Song, C. , T. Koren, P. Wang, and A. Barabási, Modelling the scaling properties of human mobility, Nature Physics, vol.42, issue.10, pp.818-823, 2010.
DOI : 10.1007/s10745-006-9083-4

D. A. Raichlen, B. M. Wood, A. D. Gordon, A. Z. Mabulla, F. W. Marlowe et al., Evidence of Levy walk foraging patterns in human hunter-gatherers, Proceedings of the National Academy of Sciences, vol.7, issue.7, pp.728-733, 2014.
DOI : 10.1371/journal.pone.0040503

R. Gallotti, A. Bazzani, and S. Rambaldi, Understanding the variability of daily travel-time expenditures using GPS trajectory data, EPJ Data Science, vol.109, issue.8, p.18, 2015.
DOI : 10.1140/epjds/s13688-015-0055-z
URL : https://hal.archives-ouvertes.fr/cea-01334188

R. Gallotti, A. Bazzani, S. Rambaldi, and M. Barthélemy, A stochastic model of randomly accelerated walkers for human mobility, Nature Communications, vol.4, issue.4, p.12600, 2016.
DOI : 10.1038/ncomms12600
URL : https://hal.archives-ouvertes.fr/cea-01334194

D. Balcan, V. Colizza, B. Gonalves, H. Hu, J. J. Ramasco et al., Multiscale mobility networks and the spatial spreading of infectious diseases, Multiscale mobility networks and the spatial spreading of infectious diseases, pp.21484-21489, 2009.
DOI : 10.1093/aje/kwh092

G. M. Viswanathan, M. G. Da-luz, E. Raposo, and H. Stanley, The physics of foraging: an introduction to random searches and biological encounters, 2011.
DOI : 10.1017/CBO9780511902680

A. Reynolds, Liberating L??vy walk research from the shackles of optimal foraging, Physics of Life Reviews, vol.14, pp.59-83, 2015.
DOI : 10.1016/j.plrev.2015.03.002

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

S. Phithakkitnukoon, M. I. Wolf, D. Offenhuber, D. Lee, A. Biderman et al., Tracking Trash, IEEE Pervasive Computing, vol.12, issue.2, pp.38-48, 2013.
DOI : 10.1109/MPRV.2013.37

F. Cagnacci, L. Boitani, R. A. Powell, and M. S. Boyce, Animal ecology meets GPS-based radiotelemetry: a perfect storm of opportunities and challenges, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.32, issue.6970, pp.2157-2162, 2010.
DOI : 10.1038/nature02121

O. Sagarra, M. Szell, P. Santi, A. Díaz-guilera, and C. Ratti, Supersampling and Network Reconstruction of Urban Mobility, PLOS ONE, vol.9, issue.2, p.134508, 2015.
DOI : 10.1371/journal.pone.0134508.t004

N. E. Williams, T. A. Thomas, M. Dunbar, N. Eagle, and A. Dobra, Measures of Human Mobility Using Mobile Phone Records Enhanced with GIS Data, PLOS ONE, vol.10, issue.45, p.133630, 2015.
DOI : 10.1371/journal.pone.0133630.s001

S. C. ¸-olak, L. P. Alexander, B. G. Alvim, S. R. Mehndiratta, and M. C. González, Analyzing cell phone location data for urban travel, Transp Res Record, vol.2526, pp.126-135, 2016.

P. Turchin, Quantitative analysis of movement: measuring and modeling population redistribution in animals and plants, 1998.

E. A. Codling, M. J. Plank, and S. Benhamou, Random walk models in biology, Journal of The Royal Society Interface, vol.132, issue.3, pp.813-834, 2008.
DOI : 10.1016/j.jtbi.2007.03.026
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2504494

M. Hebblewhite and D. T. Haydon, Distinguishing technology from biology: a critical review of the use of GPS telemetry data in ecology, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.144, issue.5, pp.2303-2312, 2010.
DOI : 10.1086/522059

P. Laube and R. S. Purves, How fast is a cow? Cross-Scale Analysis of Movement Data, Transactions in GIS, vol.51, issue.5, pp.401-418, 2011.
DOI : 10.1111/j.1467-9671.2011.01256.x

D. D. Salvucci and J. H. Goldberg, Identifying fixations and saccades in eye-tracking protocols, Proceedings of the symposium on Eye tracking research & applications , ETRA '00, pp.71-78, 2000.
DOI : 10.1145/355017.355028

R. Kitamura, S. Fujii, and E. I. Pas, Time-use data, analysis and modeling: toward the next generation of transportation planning methodologies, Transport Policy, vol.4, issue.4, pp.225-235, 1997.
DOI : 10.1016/S0967-070X(97)00018-8

J. M. Fryxell, M. Hazell, L. Börger, B. D. Dalziel, D. T. Haydon et al., Multiple movement modes by large herbivores at multiple spatiotemporal scales, Proceedings of the National Academy of Sciences, vol.97, issue.49, pp.19114-19119, 2008.
DOI : 10.1073/pnas.0801732105
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2614724

A. M. Edwards, Overturning conclusions of L??vy flight movement patterns by fishing boats and foraging animals, Ecology, vol.92, issue.6, pp.1247-1257, 2011.
DOI : 10.1890/07-1288.1

E. A. Codling and N. A. Hill, Sampling rate effects on measurements of correlated and biased random walks, Journal of Theoretical Biology, vol.233, issue.4, pp.573-588, 2005.
DOI : 10.1016/j.jtbi.2004.11.008

G. Rosser, A. G. Fletcher, P. K. Maini, and R. E. Baker, The effect of sampling rate on observed statistics in a correlated random walk, Journal of The Royal Society Interface, vol.3, issue.5, p.20130273, 2013.
DOI : 10.1371/journal.pone.0002156

W. J. Reed and B. D. Hughes, From gene families and genera to incomes and internet file sizes: Why power laws are so common in nature, Physical Review E, vol.66, issue.6, p.67103, 2002.
DOI : 10.1103/PhysRevE.66.067103

G. Mosetti, G. Jug, and E. Scalas, Power laws from randomly sampled continuous-time random walks, Physica A: Statistical Mechanics and its Applications, vol.375, issue.1, pp.233-238, 2007.
DOI : 10.1016/j.physa.2006.08.065

M. J. Plank and E. A. Codling, Sampling rate and misidentification of L??vy and non-L??vy movement paths, Ecology, vol.74, issue.12, pp.3546-3553, 2009.
DOI : 10.1016/j.plrev.2008.03.002

E. A. Codling and M. J. Plank, Turn designation, sampling rate and the misidentification of power laws in movement path data using maximum likelihood estimates, Theoretical Ecology, vol.89, issue.4, pp.397-406, 2011.
DOI : 10.1007/s12080-010-0086-9

V. D. Blondel, A. Decuyper, and G. Krings, A survey of results on mobile phone datasets analysis, EPJ Data Science, vol.2, issue.3, p.10, 2015.
DOI : 10.1140/epjds/s13688-015-0046-0

B. Hawelka, I. Sitko, E. Beinat, S. Sobolevsky, P. Kazakopoulos et al., Geo-located Twitter as proxy for global mobility patterns, Cartography and Geographic Information Science, vol.42, issue.4, pp.260-271, 2014.
DOI : 10.2307/2087063
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4786829

A. Barabási, The origin of bursts and heavy tails in human dynamics, Nature, vol.7, issue.7039, pp.207-211, 2005.
DOI : 10.1038/44831

D. R. Bild, Y. Liu, R. P. Dick, Z. M. Mao, and D. S. Wallach, Aggregate characterization of user behaviour in Twitter and analysis of the retweet graph, ACM Transactions on Internet Technology, vol.15, issue.1, p.4, 2015.

C. Song, Z. Qu, N. Blumm, and A. Barabási, Limits of Predictability in Human Mobility, Science, vol.73, issue.3 Pt 2, pp.1018-1021, 2010.
DOI : 10.1038/20144

L. Pappalardo, F. Simini, S. Rinzivillo, D. Pedreschi, F. Giannotti et al., Returners and explorers dichotomy in human mobility, Nature Communications, vol.101, p.8166, 2015.
DOI : 10.1038/ncomms9166
URL : http://doi.org/10.1038/ncomms9166

H. Barbosa, F. B. De-lima-neto, A. Evsukoff, and R. Menezes, The effect of recency to human mobility, EPJ Data Science, vol.9, issue.3, 2015.
DOI : 10.1140/epjds/s13688-015-0059-8

L. Pappalardo, S. Rinzivillo, and F. Simini, Human Mobility Modelling: Exploration and Preferential Return Meet the Gravity Model, Procedia Computer Science, vol.83, pp.934-939, 2016.
DOI : 10.1016/j.procs.2016.04.188
URL : http://doi.org/10.1016/j.procs.2016.04.188

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

S. Jiang, G. A. Fiore, Y. Yang, J. Ferreira-jr, E. Frazzoli et al., A review of urban computing for mobile phone traces, Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing, UrbComp '13, pp.1-9, 2013.
DOI : 10.1145/2505821.2505828

C. Godrèche and J. M. Luck, Statistics of the occupation time of renewal processes, Journal of Statistical Physics, vol.104, issue.3/4, pp.489-524, 2001.
DOI : 10.1023/A:1010364003250

A. Reynolds, HOW MANY ANIMALS REALLY DO THE L??VY WALK? COMMENT, Ecology, vol.2, issue.8, pp.2347-2351, 2008.
DOI : 10.1038/44831

S. Benhamou, HOW MANY ANIMALS REALLY DO THE L??VY WALK? REPLY, Ecology, vol.20, issue.8, pp.2351-2352, 2008.
DOI : 10.1038/44831

S. Hoteit, S. Secci, S. Sobolevsky, C. Ratti, and G. Pujolle, Estimating human trajectories and hotspots through mobile phone data, Computer Networks, vol.64, pp.296-307, 2014.
DOI : 10.1016/j.comnet.2014.02.011
URL : https://hal.archives-ouvertes.fr/hal-01018885

W. Feller, An Introduction to Probability Theory and its Applications, 1968.

R. Metzler, J. H. Jeon, A. G. Cherstvy, and E. Barkai, Anomalous diffusion models and their properties: non-stationarity, non-ergodicity, and ageing at the centenary of single particle tracking, Phys. Chem. Chem. Phys., vol.47, issue.2, pp.24128-24164, 2014.
DOI : 10.1039/C4CP03465A

F. Giannotti, M. Nanni, F. Pinelli, and D. Pedreschi, Trajectory pattern mining, Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '07, pp.330-339, 2007.
DOI : 10.1145/1281192.1281230
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.187.6467

H. Wang, F. Calabrese, G. D. Lorenzo, and C. Ratti, Transportation mode inference from anonymized and aggregated mobile phone call detail records, 13th International IEEE Conference on Intelligent Transportation Systems, pp.318-323, 2010.
DOI : 10.1109/ITSC.2010.5625188
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.207.6600

P. Ranacher, R. Brunauer, W. Trutschnig, S. Van-der-spek, and S. Reich, Why GPS makes distances bigger than they are, International Journal of Geographical Information Science, vol.103, issue.4, pp.316-333, 2016.
DOI : 10.1016/0968-090X(95)00006-5
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4786863

R. Gallotti, A. Bazzani, and S. Rambaldi, ERRATUM: "TOWARDS A STATISTICAL PHYSICS OF HUMAN MOBILITY", International Journal of Modern Physics C, vol.24, issue.02, p.1250061, 2012.
DOI : 10.1142/S0129183113920010

A. Proekt, J. R. Banavar, A. Maritan, and D. W. Pfaff, Scale invariance in the dynamics of spontaneous behavior, Proceedings of the National Academy of Sciences, vol.100, issue.19, pp.10564-10569, 2012.
DOI : 10.1073/pnas.1633773100

Y. Zheng, X. Xie, and W. Ma, GeoLife: A Collaborative Social Networking Service among User, location and trajectory, IEEE Data Engineering Bulletin, vol.33, issue.2, pp.32-40, 2010.
DOI : 10.1109/mdm.2009.50
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.187.8464

K. Zhao, M. Musolesi, P. Hui, W. Rao, and S. Tarkoma, Explaining the power-law distribution of human mobility through transportation modality decomposition, Scientific Reports, vol.51, issue.1, p.9136, 2015.
DOI : 10.1137/070710111

Y. A. De-montjoye, Z. Smoreda, R. Trinquart, C. Ziemlicki, and V. D. Blondel, D4D-Senegal: the second mobile phone data for development challenge, preprint arXiv, pp.1407-4885, 2014.

R. Gallotti, A. Bazzani, M. D. Esposti, and S. Rambaldi, Entropic measures of individual mobility patterns, Journal of Statistical Mechanics: Theory and Experiment, vol.2013, issue.10, p.10022, 2013.
DOI : 10.1088/1742-5468/2013/10/P10022
URL : http://arxiv.org/abs/1305.1836

A. Cuttone, S. Lehmann, and M. C. González, Understanding Predictability and Exploration in Human Mobility , preprint arXiv:1608, p.1939, 2016.