F. Giannotti and D. Pedreschi, Mobility, Data Mining and Privacy -Geographic Knowledge Discovery, 2008.

M. Nanni and D. Pedreschi, Time-focused clustering of trajectories of moving objects, Journal of Intelligent Information Systems, vol.26, issue.6, pp.267-289, 2006.
DOI : 10.1007/s10844-006-9953-7

M. Benkert, J. Gudmundsson, F. Hübner, and T. Wolle, Reporting flock patterns, ESA'06: Proceedings of the 14th conference on Annual European Symposium, pp.660-671, 2006.

J. G. Lee, J. Han, and K. Y. Whang, Trajectory clustering, Proceedings of the 2007 ACM SIGMOD international conference on Management of data , SIGMOD '07, pp.593-604, 2007.
DOI : 10.1145/1247480.1247546

H. Jeung, H. T. Shen, and X. Zhou, Convoy Queries in Spatio-Temporal Databases, 2008 IEEE 24th International Conference on Data Engineering, pp.1457-1459, 2008.
DOI : 10.1109/ICDE.2008.4497588

E. Mahrsi, M. K. Rossi, and F. , Modularity-Based Clustering for Network-Constrained Trajectories, Proceedings of the 20-th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pp.471-476, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00695753

S. Brakatsoulas, D. Pfoser, R. Salas, and C. Wenk, On map-matching vehicle tracking data, Proceedings of the 31st international conference on Very large data bases. VLDB '05, VLDB Endowment, pp.853-864, 2005.

A. Kharrat, I. S. Popa, K. Zeitouni, and S. Faiz, Clustering Algorithm for Network Constraint Trajectories, In: SDH. Lecture Notes in Geoinformation and Cartography, pp.631-647, 2008.
DOI : 10.1007/978-3-540-68566-1_36

URL : https://hal.archives-ouvertes.fr/hal-00324581

Y. Lou, C. Zhang, Y. Zheng, X. Xie, W. Wang et al., Map-matching for low-sampling-rate GPS trajectories, Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS '09, pp.352-361, 2009.
DOI : 10.1145/1653771.1653820

G. P. Roh and S. W. Hwang, NNCluster: An Efficient Clustering Algorithm for Road Network Trajectories, Database Systems for Advanced Applications, pp.47-61, 2010.
DOI : 10.1007/978-3-642-12098-5_4

S. Fortunato, Community detection in graphs, Physics Reports, vol.486, issue.3-5, pp.75-174, 2010.
DOI : 10.1016/j.physrep.2009.11.002

F. Rossi and N. Villa-vialaneix, Représentation d'un grand réseaù a partir d'une classification hiérarchique de ses sommets, Journal de la Société Française de Statistique, vol.152, issue.3, pp.34-65, 2011.

U. Luxburg, A tutorial on spectral clustering, Statistics and Computing, vol.21, issue.1, pp.395-416, 2007.
DOI : 10.1007/s11222-007-9033-z

U. N. Raghavan, R. Albert, and S. Kumara, Near linear time algorithm to detect community structures in large-scale networks, Physical Review E, vol.76, issue.3, 2007.
DOI : 10.1103/PhysRevE.76.036106

T. Brinkhoff, A framework for generating network-based moving objects, GeoInformatica, vol.6, issue.2, pp.153-180, 2002.
DOI : 10.1023/A:1015231126594

S. E. Schaeffer, Graph clustering, Computer Science Review, vol.1, issue.1, pp.27-64, 2007.
DOI : 10.1016/j.cosrev.2007.05.001

A. Noack and R. Rotta, Multi-level Algorithms for Modularity Clustering, Proceedings of the 8th International Symposium on Experimental Algorithms. SEA '09, pp.257-268, 2009.
DOI : 10.1007/978-3-642-02011-7_24