C. Dans and L. Réalité, architecture de collecte n'a aucune connaissance sur les communautés et leur territoire Ainsi, lors de la division de la zone d'étude en régions, une même région peut couvrir plusieurs territoires. Les individus se déplacent en fonction de leur catégorie selon les comportements présentés précédemment

. De-plus, Typiquement , un petit de niveau 1 ne passe pas au niveau 2 pendant une simulation. De même, une femelle n'entame pas une phase de couvaison durant la simulation. Enfin, on ne considère pas non plus les cas de décès

. Ainsi, Nous avons collecté les données sur une période de 60 minutes en mesurant toutes les 5 minutes l'évolution du réseau. Les performances de l'approche ont été analysées selon les quatre configurations illustrées sur la Figure 6.16. La configuration 1 utilise un placement aléatoire de 300 capteurs (voir Figure 6 Cette configuration crée deux phénomènes susceptibles d'impacter les résultats : la zone d'étude n'est pas entièrement couverte et les rayons de détection des capteurs peuvent chevaucher plusieurs régions. La configuration 2 correspond à un placement aléatoire de 600 capteurs (voir Figure 6.16(b)). Contrairement à la configuration précédente, elle a l'avantage d'augmen, Agrawal et R. Srikant. Fast Algorithms for Mining Association Rules in Large Databases Proceedings of the 20th International Conference on Very Large Data Bases, pp.487-499, 1994.

A. Albano and J. Guillaume-et-benedicte-le-grand, File diffusion in a dynamic peer-to-peer network, Proceedings of the 21st international conference companion on World Wide Web, WWW '12 Companion, pp.2012-2056, 2012.
DOI : 10.1145/2187980.2188257
URL : https://hal.archives-ouvertes.fr/hal-00732365

]. R. Albert, H. Jeong, and A. L. Barabási, Error and attack tolerance of complex networks, Nature, vol.1696, issue.6794, pp.378-382, 2000.
DOI : 10.1038/35019019

]. R. Albert and A. L. Barabasi, Statistical mechanics of complex networks, Reviews of Modern Physics, vol.74, issue.1, pp.22-509, 1999.
DOI : 10.1103/RevModPhys.74.47

]. A. Barabasi and E. Bonabeau, Scale-Free Networks, Scientific American, vol.288, issue.5, pp.60-69, 2003.
DOI : 10.1038/scientificamerican0503-60

A. Barabasi and J. Fowler, The century of networks. Seed salon mahazine, 2009.

]. J. Barnes, Class and Committees in a Norwegian Island Parish, Human Relations, vol.7, issue.1, pp.39-58, 1954.
DOI : 10.1177/001872675400700102

]. C. Barrett, K. R. Bisset, S. G. Eubank, X. Feng, and M. V. Marathe, EpiSimdemics: An efficient algorithm for simulating the spread of infectious disease over large realistic social networks, 2008 SC, International Conference for High Performance Computing, Networking, Storage and Analysis, pp.5-47, 2008.
DOI : 10.1109/SC.2008.5214892

]. M. Bastian, S. Heymann, and M. Jacomy, Gephi : An Open Source Software for Exploring and Manipulating Networks, 2009.

]. Beletsky, An investigation of individual recognition by voice in female red-winged blackbirds, Animal Behaviour, vol.31, issue.2, pp.355-362, 1982.
DOI : 10.1016/S0003-3472(83)80054-2

]. V. Belik, T. Geisel, and D. Brockmann, Recurrent host mobility in spatial epidemics: beyond reaction-diffusion, The European Physical Journal B, vol.5, issue.4, pp.579-75, 2011.
DOI : 10.1140/epjb/e2011-20485-2

C. Bettstetter, H. Hartenstein, and X. Pérez-costa, Stochastic Properties of the Random Waypoint Mobility Model, Wireless Networks, vol.10, issue.5, pp.555-567, 2004.
DOI : 10.1023/B:WINE.0000036458.88990.e5

]. V. Blondel, J. L. Guillaume, R. Lambiotte, and E. Lefebvre, Fast unfolding of communities in large networks, Journal of Statistical Mechanics: Theory and Experiment, vol.2008, issue.10, p.10008, 2008.
DOI : 10.1088/1742-5468/2008/10/P10008
URL : https://hal.archives-ouvertes.fr/hal-01146070

S. Boccaletti, V. Latora, Y. Moreno, M. Chavez, and D. U. Hwang, Complex networks: Structure and dynamics, Physics Reports, vol.424, issue.4-5, pp.175-308, 2006.
DOI : 10.1016/j.physrep.2005.10.009

M. Boguna, R. Pastor-satorras, A. Diaz-guilera, and A. Arenas, Emergence of clustering, correlations, and communities in a social network model. Arxiv preprint cond-mat 0309263, pp.46-55, 2003.

]. B. Bollobas, Random graphs, 2001.
URL : https://hal.archives-ouvertes.fr/hal-00914127

]. S. Borgatti, NetDraw Software for Network Visualization Analytic Technologies, 2002.

]. S. Borgatti, M. G. Everett, and L. C. Freeman, Ucinet for Windows : Software for social network analysis, Harvard Analytic Technologies, 2002.

]. K. Borner, S. Sanyal, and A. Vespignani, Network science, Annual Review of Information Science and Technology, vol.70, issue.21, pp.537-607, 2007.
DOI : 10.1002/aris.2007.1440410119

]. E. Bott, Family and social network, 1957.

]. H. Bredin and G. Chollet, Synchronisation voix/levres pour la verification d'identite basee sur les visages parlants, 2006.

]. S. Brin and L. Page, The anatomy of a large-scale hypertextual Web search engine, Computer Networks and ISDN Systems, vol.30, issue.1-7, 1998.
DOI : 10.1016/S0169-7552(98)00110-X

]. L. Brisson and M. Collard, How to Semantically Enhance a Data Mining Process ? In ICEIS, pp.103-116, 2008.

S. Broadbent and J. Hammersley, Percolation processes, Mathematical Proceedings of the Cambridge Philosophical Society, vol.16, issue.03, pp.629-641, 1957.
DOI : 10.1017/S0305004100032680

]. T. Camp, J. Boleng, and V. Davies, A survey of mobility models for ad hoc network research, Wireless communications and mobile computing, pp.483-502, 2002.
DOI : 10.1002/wcm.72

]. A. Chavoya and Y. Duthen, A cell pattern generation model based on an extended artificial regulatory network, Biosystems, vol.94, issue.1-2, pp.95-101, 2008.
DOI : 10.1016/j.biosystems.2008.05.015

]. D. Chen, J. Yang, R. Malkin, and H. D. Wactlar, Detecting social interactions of the elderly in a nursing home environment, ACM Transactions on Multimedia Computing, Communications, and Applications, vol.3, issue.1, pp.39-142, 2007.
DOI : 10.1145/1198302.1198308

C. Chen, C. Tseng, T. J. King, H. Wu, and . Chen, Incorporating Geographical Contacts into Social Network Analysis for Contact Tracing in Epidemiology: A Study on Taiwan SARS Data, NSF conference on Intelligence and security informatics : BioSurveillance, 2007.
DOI : 10.1007/978-3-540-72608-1_3

]. H. Cheng, X. Yan, and J. Han, Mining Graph Patterns. Managing and Mining Graph Data, pp.365-392, 2010.

]. N. Christakis and J. H. Fowler, The Spread of Obesity in a Large Social Network over 32 Years, New England Journal of Medicine, vol.357, issue.4, pp.370-379, 2007.
DOI : 10.1056/NEJMsa066082

]. N. Christakis and J. H. Fowler, The Collective Dynamics of Smoking in a Large Social Network, New England Journal of Medicine, vol.358, issue.21, pp.2249-2258, 2008.
DOI : 10.1056/NEJMsa0706154

]. N. Christakis and J. H. Fowler, Social Network Sensors for Early Detection of Contagious Outbreaks, PLoS ONE, vol.5, issue.9, pp.35-48, 2010.
DOI : 10.1371/journal.pone.0012948.s002

]. C. Christensen, I. Albert, B. Grenfell, and R. Albert, Disease dynamics in a dynamic social network, Physica A : Statistical Mechanics and its Applications, pp.2663-2674, 2010.
DOI : 10.1016/j.physa.2010.02.034

]. R. Christley, G. L. Pinchbeck, R. G. Bowers, D. Clancy, N. P. French et al., Infection in Social Networks: Using Network Analysis to Identify High-Risk Individuals, American Journal of Epidemiology, vol.162, issue.10, pp.1024-1031, 2005.
DOI : 10.1093/aje/kwi308

]. R. Cohen, K. Erez, D. Ben-avraham, and S. Havlin, Resilience of the Internet to Random Breakdowns, Physical Review Letters, vol.85, issue.21, pp.4626-4628, 2000.
DOI : 10.1103/PhysRevLett.85.4626

]. 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

]. M. Collard and J. Vansnick, How to measure interestingness in data mining : a multiple criteria decision analysis approach, RCIS, pp.395-400, 2007.

M. Collard, P. Collard, and E. Stattner, Mobility and Information Flow: Percolation in a Multi-Agent Model, 3rd International Conference on Ambient Systems, Networks and TechnologiesCité en page 5.) [Combe 2012] D. Combe, C. Largeron, E. Egyed-Zsigmond et M Gery. Combining relations and text in scientific network clustering. International Conference on Advances in Social Networks Analysis and Mining, p.2012, 2012.
DOI : 10.1016/j.procs.2012.06.007
URL : https://hal.archives-ouvertes.fr/hal-00767043

C. D. Corley, A. R. Mikler, D. J. Cook, and K. Singh, Dynamic intimate contact social networks and epidemic interventions, International Journal of Functional Informatics and Personalised Medicine, vol.1, issue.2, pp.171-188, 2008.
DOI : 10.1504/IJFIPM.2008.020186

]. D. Cosley, D. Huttenlocher, J. Kleinberg, X. Lan, S. Suri et al., Sequential influence models in social networks Exploring animals social networks Exploring animals social networks, chapitre 3. Visual Exploration Agent Street : An Environment for Exploring Agent-Based Models in Second Life, Proc. 4th International Conference on Weblogs and Social MediaCité en page 3.)Cité en page 72.), p.10, 2008.

]. Dabouineau, Pourquoi les oiseaux chantent-ils ? Le rale d'eau, pp.10-14, 2004.

D. G. Daley and . Kendall, Stochastic Rumours, IMA Journal of Applied Mathematics, vol.1, issue.1, pp.42-55, 1965.
DOI : 10.1093/imamat/1.1.42

M. Elizabeth, M. Daly, and . Haahr, Social network analysis for routing in disconnected delay-tolerant MANETs, Proceedings of the 8th ACM international symposium on Mobile ad hoc networking and computing, MobiHoc '07, pp.32-40, 2007.

. Bibliographie, . Davidsen, and . Bornholdt, Emergence of a Small World from Local Interactions : Modeling Acquaintance Networks, Phys Rev Lett, vol.88, issue.12, p.128701, 2002.

A. L. Dezsho and . Barabasi, Halting viruses in scale-free networks, Physical Review E, vol.65, issue.5, 2002.

]. Easley and J. Kleinberg, Networks, crowds, and markets : Reasoning about a highly connected world, chapitre 21. Epidemics, 2010.
DOI : 10.1017/CBO9780511761942

]. F. Ekman, A. Keranen, J. Karvo, and J. Ott, Working day movement model, Proceeding of the 1st ACM SIGMOBILE workshop on Mobility models , MobilityModels '08, pp.33-40, 2008.
DOI : 10.1145/1374688.1374695
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.232.8943

E. and E. Daude, Spatial diffusion of epidemics : Approaches of complexities in geography, Espace populations societes, vol.2, issue.3, pp.403-416, 2006.

]. J. Epstein, Why model ?, Journal of Artificial Societies and Social Simulation, vol.11, issue.4, p.12, 2008.

]. P. Erdos and A. Renyi, On the evolution of random graphs, Akad. Kiado, 1960.

]. P. Erdos, A. Meir, V. T. Sos, and P. Turan, On some applications of graph theory, I, Discrete Mathematics, vol.306, issue.14, pp.10-11, 2006.

]. S. Eubank, Network based models of infectious disease spread, Japanese journal of infectious diseases, vol.58, issue.6, pp.29-47, 2005.

]. P. Eugster, R. Guerraoui, A. M. Kermarrec, and L. Massoulié, Epidemic information dissemination in distributed systems, Computer, vol.37, issue.5, pp.60-67, 2004.
DOI : 10.1109/MC.2004.1297243

]. L. Euler, Solutio problematis ad geometriam situs pertinentis. Commentarii academiae scientiarum Petropolitanae, pp.128-140, 1741.

]. J. Fowler and N. A. Christakis, Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study, BMJ, vol.337, issue.dec04 2, p.2338, 2008.
DOI : 10.1136/bmj.a2338

]. T. Fruchterman and E. M. Reingold, Graph drawing by force-directed placement, Software: Practice and Experience, vol.41, issue.11, pp.1129-1164, 1991.
DOI : 10.1002/spe.4380211102

]. P. Galeottia and G. Pavanb, ) using spectrograms of their territorial calls, Ethology Ecology & Evolution, vol.95, issue.2, pp.113-126, 1991.
DOI : 10.1007/BF01677677

]. Ganter, G. Stumme, and R. Wille, Formal Concept Analysis, Foundations and Applications, Lecture Notes in Computer Science, vol.3626, 2005.

]. W. Garrison, CONNECTIVITY OF THE INTERSTATE HIGHWAY SYSTEM, Papers in Regional Science, vol.6, issue.1, pp.121-137, 1960.
DOI : 10.1111/j.1435-5597.1960.tb01707.x

]. B. Gaume, E. Navarro, and H. Prade, A parallel between extended formal concept analysis and bipartite graphs analysis. Computational Intelligence for Knowledge-Based Systems Design, pp.270-280, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00992094

C. Getoor and . Diehl, Link mining, ACM SIGKDD Explorations Newsletter, vol.7, issue.2, pp.3-12, 2005.
DOI : 10.1145/1117454.1117456

]. M. 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

]. M. Granovetter, The strength of weak ties, American journal of sociology, pp.1360-1380, 1973.

]. M. Granovetter, Threshold Models of Collective Behavior, American Journal of Sociology, vol.83, issue.6, pp.1420-1443, 1978.
DOI : 10.1086/226707

]. Gross, C. J. Dommar, D. Lima, and B. Blasius, Epidemic Dynamics on an Adaptive Network, Physical Review Letters, vol.96, issue.20, pp.208701-208747, 2006.
DOI : 10.1103/PhysRevLett.96.208701

D. Gruhl, R. Guha, D. Liben-nowell, and A. Tomkins, Information diffusion through blogspace, Proceedings of the 13th international conference on World Wide Web, pp.491-501, 2004.

A. Guille and H. Hacid, A predictive model for the temporal dynamics of information diffusion in online social networks, Proceedings of the 21st international conference companion on World Wide Web, WWW '12 Companion, pp.1145-1152, 2012.
DOI : 10.1145/2187980.2188254
URL : https://hal.archives-ouvertes.fr/hal-00680767

]. R. Guimera, L. Danon, A. Diaz-guilera, F. Giralt, and A. Arenas, Selfsimilar community structure in organisations. Arxiv preprint cond-mat, 2002.

]. I. Gutman and N. Trinajstic, Graph theory and molecular orbitals. Total ??-electron energy of alternant hydrocarbons, Chemical Physics Letters, vol.17, issue.4, pp.535-538, 1972.
DOI : 10.1016/0009-2614(72)85099-1

]. Z. Haas, A new routing protocol for the reconfigurable wireless networks, IEEE 6th International Conference on Universal Personal Communications, pp.562-566, 1997.

. Hammersley and . Welsh, Percolation theory and its ramifications, Contemporary Physics, vol.5, issue.6, pp.593-605, 1980.
DOI : 10.1080/00107518008210661

]. T. Henderson, D. Kotz, and I. Abyzov, The changing usage of a mature campus-wide wireless network, 10th international conference on Mobile computing and networking, pp.187-201, 2004.

]. A. Inokuchi, T. Washio, and H. Motoda, An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data, 4th European Conference on Principles of Data Mining and Knowledge Discovery, pp.13-23, 2000.
DOI : 10.1007/3-540-45372-5_2

]. A. Jardosh, E. M. Belding-royer, K. C. Almeroth, and S. Suri, Towards realistic mobility models for mobile ad hoc networks, Proceedings of the 9th annual international conference on Mobile computing and networking , MobiCom '03, pp.217-229, 2003.
DOI : 10.1145/938985.939008

]. T. Kamada and S. Kawai, An algorithm for drawing general undirected graphs, Information Processing Letters, vol.31, issue.1, pp.7-15, 1989.
DOI : 10.1016/0020-0190(89)90102-6

]. J. Kephart and S. R. White, Measuring and modeling computer virus prevalence, Proceedings 1993 IEEE Computer Society Symposium on Research in Security and Privacy, pp.2-15, 1993.
DOI : 10.1109/RISP.1993.287647

]. W. Kermack and A. G. Mckendrick, A Contribution to the Mathematical Theory of Epidemics, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.115, issue.772, pp.700-721, 1927.
DOI : 10.1098/rspa.1927.0118

]. A. Kermarrec, L. Massoulié, and A. J. Ganesh, Probabilistic reliable dissemination in large-scale systems. Parallel and Distributed Systems, IEEE Transactions on, vol.14, issue.3, pp.248-258, 2003.

]. H. Kesten, Percolation theory for mathematicians, 1982.
DOI : 10.1007/978-1-4899-2730-9

]. G. Kossinets and D. J. Watts, Empirical Analysis of an Evolving Social Network, Science, vol.311, issue.5757, pp.88-90, 2006.
DOI : 10.1126/science.1116869

]. J. Kumpula, J. P. Onnela, J. Saramäki, K. Kaski, and J. Kertész, Emergence of Communities in Weighted Networks, Physical Review Letters, vol.99, issue.22, pp.228701-54, 2007.
DOI : 10.1103/PhysRevLett.99.228701

]. M. Kuramochi and G. Karypis, Frequent subgraph discovery, Proceedings 2001 IEEE International Conference on Data Mining, pp.313-320, 2001.
DOI : 10.1109/ICDM.2001.989534

]. M. Kuramochi and G. Karypis, Finding Frequent Patterns in a Large Sparse Graph*, Data Mining and Knowledge Discovery, vol.4, issue.1, pp.243-271, 2005.
DOI : 10.1007/s10618-005-0003-9

]. S. Kuznetsov and D. I. Ignatov, Concept stability for constructing taxonomies of web-site users. Arxiv preprint arXiv :0905.1424, 2009.

J. Mathew-laibowitz, R. Gips, A. Aylward, J. A. Pentland, and . Paradiso, A sensor network for social dynamics, Proceedings of the fifth international conference on Information processing in sensor networks , IPSN '06, pp.483-491, 2006.
DOI : 10.1145/1127777.1127851

L. Grand, M. Soto, and M. A. Aufaure, Conceptual and Spatial Footprints for Complex Systems Analysis: Application to the Semantic Web, Database and Expert Systems Applications, pp.111-112, 2009.
DOI : 10.1007/978-3-540-78137-0_19

]. Leskovec, A. Lada, . Adamic, A. Bernardo, and . Huberman, The dynamics of viral marketing, ACM Trans. Web, vol.1, 2007.

C. Levy, G. Linares, P. Nocera, and J. Bonastre, Gmm-based acoustic modeling for embedded speech recognition, International Conference on Speech Communication and Technology, 2006.
URL : https://hal.archives-ouvertes.fr/hal-01318193

]. Li, M. Meng, and H. Ma, Epidemic Spreading in Dynamic Small World Networks, pp.44-46, 2004.

J. Nowell and . Kleinberg, The link-prediction problem for social networks, Journal of the American Society for Information Science and Technology, vol.393, issue.7, pp.1019-1031, 2007.
DOI : 10.1002/asi.20591

]. M. Liquiere, Some links between formal concept analysis and graph mining. Mining graph data, pp.227-252, 2006.
URL : https://hal.archives-ouvertes.fr/lirmm-00137035

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

]. Lu and L. Getoor, Link-based Classification, ICML, pp.496-503, 2003.

]. D. Lusseau, Evidence for social role in a dolphin social network, Evolutionary Ecology, vol.198, issue.3, pp.357-66, 2007.
DOI : 10.1007/s10682-006-9105-0

]. J. Mariani-2002 and . Mariani, Analyse, synthese et codage de la parole, 2002.

M. Marsili, F. Vega-redondo, and F. Slanina, The rise and fall of a networked society: A formal model, Proceedings of the National Academy of Sciences, vol.101, issue.6, pp.1439-62, 2004.
DOI : 10.1073/pnas.0305684101

]. F. Martincic and L. Schwiebert, Handbook of sensor networks : Algorithms and architectures, chapitre Introduction to wireless sensor networking, 2005.

]. K. May, The Origin of the Four-Color Conjecture, Isis, vol.56, issue.3, pp.346-348, 1965.
DOI : 10.1086/350003

]. M. Mcpherson, L. Smith-lovin, and J. M. Cook, Birds of a feather : Homophily in social networks. Annual review of sociology, 2001.

]. L. Meyers, B. Pourbohloul, M. E. Newman, D. M. Skowronski, and R. C. Brunham, Network theory and SARS: predicting outbreak diversity, Journal of Theoretical Biology, vol.232, issue.1, pp.71-81, 2005.
DOI : 10.1016/j.jtbi.2004.07.026
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.67.2177

]. S. Milgram, The Small World Problem, Psychology Today, vol.1, issue.19, pp.61-67, 1967.
DOI : 10.1037/e400002009-005

]. M. Musolesi and C. Mascolo, Mobility models for systems evaluation. A survey, Middleware for Network Eccentric and Mobile Applications, pp.43-62, 2009.

G. Moreno, M. Bianconi, and . Marsili, Theory of rumour spreading in complex social networks, Physica A : Statistical Mechanics and its Applications, pp.457-470, 2007.

]. M. Newman, The structure and function of complex networks. SIAM review, pp.167-256, 2003.

]. M. Newman, Networks : An introduction, Epidemics on Networks, pp.627-676, 2010.
DOI : 10.1093/acprof:oso/9780199206650.001.0001

S. Nijssen, N. Joost, and . Kok, The Gaston Tool for Frequent Subgraph Mining, Electronic Notes in Theoretical Computer Science, vol.127, issue.1, pp.77-87, 2005.
DOI : 10.1016/j.entcs.2004.12.039

]. A. Noymer, The transmission and persistence of ???urban legends???: Sociological application of age???structured epidemic models, The Journal of Mathematical Sociology, vol.28, issue.3, pp.299-323, 2001.
DOI : 10.1093/imammb/1.2.169

]. D. Olguin and A. Pentland, Social sensors for automatic data collection, Americas Conference on Information Systems, 2008.

. Vv-ostapenko, Mathematical questions of modeling and control in water distribution problems, Control Cybern, vol.20, pp.99-111, 1991.

E. J. Pauwels, A. A. Salah, and R. Tavenard, Sensor Networks for Ambient Intelligence, 2007 IEEE 9th Workshop on Multimedia Signal Processing, pp.13-16, 2007.
DOI : 10.1109/MMSP.2007.4412806
URL : https://hal.archives-ouvertes.fr/halshs-01138508

]. D. Pham, From agent-based computational economics towards cognitive economics eds : Cognitive Economics : An Interdisciplinary Approach, 2004.

]. L. Phillmore, C. B. Sturdy, M. R. Turyk, and R. G. Weisman, Discrimination of individual vocalizations by black-capped chickadees (Poecile atricapilla), Animal Learning & Behavior, vol.66, issue.1, pp.43-52, 2002.
DOI : 10.3758/BF03192908

]. N. Quinn and M. Breuer, A forced directed component placement procedure for printed circuit boards, IEEE Transactions on Circuits and Systems, vol.26, issue.6, pp.377-388, 1979.
DOI : 10.1109/TCS.1979.1084652

M. Jonathan, . Read, T. Ken, J. Eames, and . Edmunds, Dynamic social networks and the implications for the spread of infectious disease, Journal of the Royal Society Interface the Royal Society, vol.5, issue.32, pp.1001-1007, 2008.

]. C. Rhodes and R. M. Anderson, Dynamics in a lattice epidemic model, Physics Letters A, vol.210, issue.3, pp.183-188, 1996.
DOI : 10.1016/S0375-9601(96)80007-7

]. T. Riadh, B. Le-grand, M. A. Aufaure, and M. Soto, Conceptual and statistical footprints for social networks' characterization, Proceedings of the 3rd Workshop on Social Network Mining and Analysis, SNA-KDD '09, pp.108-111, 2009.
DOI : 10.1145/1731011.1731019

]. M. Rumble, L. Benkobi, F. Lindzey, and R. S. Gamo, Evaluating elk habitat interactions with GPS collars, Tracking Animals with GPS, 2001.

]. P. Ryan, S. L. Petersen, G. Peters, and D. Gremillet, GPS tracking a marine predator: the effects of precision, resolution and sampling rate on foraging tracks of African Penguins, Marine Biology, vol.145, issue.2, pp.2004-141, 2004.
DOI : 10.1007/s00227-004-1328-4

]. D. Sade-1994, M. M. Sade, and . Dow, Primate social networks In Advances in social network analysis, pp.152-66, 1994.

S. and J. H. Jones, Dynamics and Control of Diseases in Networks with Community Structure, PLoS Comput Biol, vol.6, issue.34, pp.32-43, 2010.

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

]. M. Sanchez and P. Manzoni, ANEJOS: a Java based simulator for ad hoc networks, Future Generation Computer Systems, vol.17, issue.5, pp.573-583, 2001.
DOI : 10.1016/S0167-739X(00)00040-6

P. Knees, K. Seyerlehner, and T. Pohle, The comirva toolkit for visualizing music-related data, Eurographics IEEE VGTC Symposium on Visualization, 2007.

]. B. Shorrocks and D. P. Croft, Giraffe necks and networks, Mpala News, vol.3, issue.3, 2006.

]. Simon, Hot spot spatial models for data reported as counts over geographic areas, 2006.

]. V. Snasel, Z. Horak, and A. Abraham, Understanding social networks using formal concept analysis, Web Intelligence and Intelligent Agent Technology, pp.390-393, 2008.

]. V. Snasel, Z. Horak, J. Kocibova, and A. Abraham, Analyzing social networks using FCA : complexity aspects WI-IAT'09, Web Intelligence and Intelligent Agent TechnologiesACM International Joint Conferences on, pp.38-41, 2009.
DOI : 10.1109/wi-iat.2009.225

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

]. F. Spitzer, Principles of random walk, 2001.

]. Stattner and M. Collard, Philippe Hunel et Nicolas Vidot. A Data Collection Framework for Tracking Collective Behaviour Patterns, RCIS, pp.43-50, 2010.

]. Stattner, M. Collard, P. Hunel, and N. Vidot, Detecting movement patterns with wireless sensor networks, Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia, MoMM '10, pp.251-258, 2010.
DOI : 10.1145/1971519.1971562
URL : https://hal.archives-ouvertes.fr/hal-00601641

]. Stattner, M. Collard, P. Hunel, and N. Vidot, Wireless sensor networks for social network data collection, 2011 IEEE 36th Conference on Local Computer Networks, pp.867-874, 2011.
DOI : 10.1109/LCN.2011.6115565
URL : https://hal.archives-ouvertes.fr/hal-00656113

]. Stattner, M. Collard, and N. Vidot, Diffusion in Dynamic Social Networks: Application in Epidemiology, 22nd International Conference on Database and Expert Systems Applications, 2011.
DOI : 10.1016/j.socnet.2009.06.004
URL : https://hal.archives-ouvertes.fr/hal-00614925

]. Stattner, M. Collard, and N. Vidot, Towards Merging Models of Information Spreading and Dynamic Phenomena in Social Networks, World Summit on the Knowledge Society, 2011.
DOI : 10.1007/978-3-642-35879-1_62
URL : https://hal.archives-ouvertes.fr/hal-00768405

]. E. Stattner and M. Collard, FLMin: An Approach for Mining Frequent Links in Social Networks, International Conference on Networked Digital Technologies, pp.2012-2018, 2012.
DOI : 10.1007/978-3-642-30567-2_38
URL : https://hal.archives-ouvertes.fr/hal-00768431

]. E. Stattner and M. Collard, GT-FLMin : Un Outil Graphique pour l'Extraction de Liens Frequents dans les Reseaux Sociaux Conference Internationale Francophone sur l'Extraction et la Gestion de Connaissance, pp.2012-132, 2012.

]. E. Stattner and M. Collard, Social-Based Conceptual Links: Conceptual Analysis Applied to Social Networks, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, p.2012, 2012.
DOI : 10.1109/ASONAM.2012.15
URL : https://hal.archives-ouvertes.fr/hal-00786161

]. E. Stattner, M. Collard, and N. Vidot, Network-Based Modeling in Epidemiology, International Journal of Information System Modeling and Design, vol.3, issue.3, p.2012, 2012.
DOI : 10.4018/jismd.2012070103
URL : https://hal.archives-ouvertes.fr/hal-00700105

]. E. Stattner, M. Collard, and N. Vidot, Sociability vs Network Dynamics: Impact of Two Aspects of Human Behavior on Diffusion Phenomena, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, p.2012, 2012.
DOI : 10.1109/ASONAM.2012.104
URL : https://hal.archives-ouvertes.fr/hal-00786162

E. Stattner and M. Collard, Extracion de Liens Frequents dans les Reseaux Sociaux Conference Internationale Francophone sur l'Extraction et la Gestion de Connaissance, pp.2012-2018, 2012.

E. Stattner and M. Collard, Frequent Links: An Approach That Combines Attributes and Structure for Extracting Frequent Patterns in Social Networks, 16th East-European Conference on Advances in Databases and Information Systems, pp.2012-2018, 2012.
DOI : 10.1007/978-3-642-33074-2_28
URL : https://hal.archives-ouvertes.fr/hal-00767050

E. Stattner and M. Collard, How to extract frequent links with frequent itemsets in social networks?, 2012 Sixth International Conference on Research Challenges in Information Science (RCIS), p.2012, 2012.
DOI : 10.1109/RCIS.2012.6240432
URL : https://hal.archives-ouvertes.fr/hal-00767039

E. Stattner and M. Collard, MAX-FLMin: An Approach for Mining Maximal Frequent Links and Generating Semantical Structures from Social Networks, 23rd International Conference on Database and Expert Systems Applications, pp.2012-2018, 2012.
DOI : 10.1007/978-3-642-32600-4_35
URL : https://hal.archives-ouvertes.fr/hal-00767052

]. Stattner, M. Collard, and N. Vidot, D2SNet: Dynamics of diffusion and dynamic human behaviour in social networks, Computers in Human Behavior, vol.29, issue.2, p.2012, 2012.
DOI : 10.1016/j.chb.2012.06.004
URL : https://hal.archives-ouvertes.fr/hal-00786164

]. J. Stehle, N. Voirin, A. Barrat, C. Cattuto, L. Isella et al., Linaet al. High-resolution measurements of face-to-face contact patterns in a primary school, PloS one, vol.6, issue.8, pp.2011-2049, 2011.

K. Steinhaeuser, V. Nitesh, and . Chawla, Identifying and evaluating community structure in complex networks, Pattern Recognition Letters, vol.31, issue.5, pp.413-421, 2010.
DOI : 10.1016/j.patrec.2009.11.001

]. Y. Tian, R. A. Hankins, and J. M. Patel, Efficient aggregation for graph summarization, Proceedings of the 2008 ACM SIGMOD international conference on Management of data , SIGMOD '08, pp.567-580, 2008.
DOI : 10.1145/1376616.1376675

]. R. Toivonen, L. Kovanen, M. Kivela, J. P. Onnela, J. Saramaki et al., A comparative study of social network models: Network evolution models and nodal attribute models, Social Networks, vol.31, issue.4, pp.3-54, 2009.
DOI : 10.1016/j.socnet.2009.06.004

]. J. Vaillant, G. Puggioni, L. Waller, and J. Daugrois, A spatio-temporal analysis of the spread of sugarcane yellow leaf virus, Journal of Time Series Analysis, vol.103, issue.224, pp.396-406, 2011.
DOI : 10.1111/j.1467-9892.2011.00730.x

E. Volz and L. A. Meyers, Susceptible-infected-recovered epidemics in dynamic contact networks, Proceedings of the Royal Society B: Biological Sciences, vol.102, issue.6684, pp.2925-2933, 2007.
DOI : 10.1038/30835

W. and R. Wallace, Social disintegration and the spread of AIDS: Thresholds for propagation along ???sociogeographic??? networks, Social Science & Medicine, vol.33, issue.10, pp.1155-1162, 1991.
DOI : 10.1016/0277-9536(91)90231-Z

]. J. Wang, H. Zeng, Z. Chen, H. Lu, L. Tao et al., ReCoM, Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval , SIGIR '03, pp.274-281, 2003.
DOI : 10.1145/860435.860486

]. D. Watts and S. H. Strogatz, Collective dynamics of 'small-world' networks, Nature, vol.393, issue.6684, pp.440-482, 1998.
DOI : 10.1038/30918

J. Duncan and . Watts, The 'New' Science of Networks, Annual Review of Sociology, vol.30, pp.243-270, 2004.

B. Douglas and . West, Introduction to graph theory, 2000.

]. J. Wierman and D. J. Marchette, Modeling computer virus prevalence with a susceptible-infected-susceptible model with reintroduction, Computational Statistics & Data Analysis, vol.45, issue.1, pp.3-23, 2004.
DOI : 10.1016/S0167-9473(03)00113-0

]. U. Wilensky, Center for Connected Learning and Computer-Based Modeling, 1999.

]. U. Wilensky and W. Rand, An introduction to agent-based modeling : Modeling natural, social and engineered complex systems with NetLogo, 2009.

]. R. Wille, Line diagrams of hierarchical concept systems, International classification, vol.11, issue.2, pp.77-86, 1984.

]. X. Yan and J. Han, gSpan : Graph-Based Substructure Pattern Mining, Proceedings of the 2002 IEEE International Conference on Data Mining, 2002.

P. Eiko-yoneki, J. Hui, and . Crowcroft, Bio-Inspired Computing and Communication . chapitre Wireless Epidemic Spread in Dynamic Human Networks, pp.116-132, 2008.

S. Seok-ho-yoon, S. Song, and . Kim, Efficient link-based clustering in a large scaled blog network, Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication, pp.1-71, 2011.

]. D. Zanette, Critical behavior of propagation on small-world networks, Physical Review E, vol.64, issue.5, p.50901, 2001.
DOI : 10.1103/PhysRevE.64.050901

]. D. Zanette, Dynamics of rumor propagation on small-world networks, Physical Review E, vol.65, issue.4, pp.1-29, 2002.
DOI : 10.1103/PhysRevE.65.041908

]. Y. Zhou, H. Cheng, and J. X. Yu, Graph clustering based on structural/attribute similarities, Proceedings of the VLDB Endowment, vol.2, issue.1, pp.718-729, 2009.
DOI : 10.14778/1687627.1687709