M. E. Newman, Networks: an introduction, 2010.
DOI : 10.1093/acprof:oso/9780199206650.001.0001

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

M. Newman and M. Girvan, Finding and evaluating community structure in networks, Physical Review E, vol.69, issue.2, p.26133, 2004.
DOI : 10.1103/PhysRevE.69.026113

Z. Li, S. Zhang, R. Wang, X. Zhang, and L. Chen, Quantitative function for community detection, Physical Review E, vol.77, issue.3, p.36109, 2008.
DOI : 10.1103/PhysRevE.77.036109

C. H. Ding, X. He, H. Zha, M. Gu, and H. D. Simon, A min-max cut algorithm for graph partitioning and data clustering, Proceedings 2001 IEEE International Conference on Data Mining, pp.107-114, 2001.
DOI : 10.1109/ICDM.2001.989507

J. Shi and J. Malik, Normalized cuts and image segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.8, pp.888-905, 2000.

B. H. Good, Y. De-montjoye, and A. Clauset, Performance of modularity maximization in practical contexts, Physical Review E, vol.81, issue.4, pp.81-046106, 2010.
DOI : 10.1103/PhysRevE.81.046106

S. Fortunato and M. Barthelemy, Resolution limit in community detection, Proceedings of the National Academy of Sciences, pp.36-41, 2007.
DOI : 10.1073/pnas.0605965104

S. Cafieri, P. Hansen, and L. Liberti, Loops and multiple edges in modularity maximization of networks, Physical Review E, vol.81, issue.4, p.46102, 2010.
DOI : 10.1103/PhysRevE.81.046102
URL : https://hal.archives-ouvertes.fr/hal-00979205

C. Massen and J. Doye, Identifying communities within energy landscapes, Physical Review E, vol.71, issue.4, p.46101, 2005.
DOI : 10.1103/PhysRevE.71.046101
URL : http://arxiv.org/abs/cond-mat/0412469

A. Lancichinetti and S. Fortunato, Limits of modularity maximization in community detection, Physical Review E, vol.84, issue.6, p.66122, 2011.
DOI : 10.1103/PhysRevE.84.066122

M. Sales-pardo, R. Guimera, A. Moreira, and L. Amaral, Extracting the hierarchical organization of complex systems, Proc. Natl. Acad. Sci. USA, p.15224, 2007.
DOI : 10.1073/pnas.0703740104

J. Kumpula, J. Saramaki, K. Kaski, and J. Kertesz, LIMITED RESOLUTION AND MULTIRESOLUTION METHODS IN COMPLEX NETWORK COMMUNITY DETECTION, Fluctuation and Noise Letters, vol.07, issue.03, pp.209-214, 2007.
DOI : 10.1142/S0219477507003854

A. Arenas, A. Fernandez, and S. Gomez, Analysis of the structure of complex networks at different resolution levels, New Journal of Physics, vol.10, issue.5, p.53039, 2008.
DOI : 10.1088/1367-2630/10/5/053039

J. Reichardt and S. Bornholdt, Statistical mechanics of community detection, Physical Review E, vol.74, issue.1, p.16110, 2006.
DOI : 10.1103/PhysRevE.74.016110

R. Guimerà and A. Amaral, Functional cartography of complex metabolic networks, Nature, vol.220, issue.7028, pp.895-900, 2005.
DOI : 10.1038/35075138

A. Medus, G. Acuna, and C. Dorso, Detection of community structures in networks via global optimization, Physica A: Statistical Mechanics and its Applications, vol.358, issue.2-4, pp.593-604, 2005.
DOI : 10.1016/j.physa.2005.04.022

S. Lehmann and L. Hansen, Deterministic modularity optimization, The European Physical Journal B, vol.435, issue.1, pp.83-88, 2007.
DOI : 10.1140/epjb/e2007-00313-2
URL : http://arxiv.org/abs/physics/0701348

M. Tasgin, A. Herdagdelen, and H. Bingol, Community detection in complex networks using genetic algorithms, 2007.

J. Duch and A. , Community detection in complex networks using extremal optimization, Physical Review E, vol.72, issue.2, p.27104, 2005.
DOI : 10.1103/PhysRevE.72.027104

M. Newman, Modularity and community structure in networks, Proceedings of the National Academy of Sciences, pp.8577-8582, 2006.
DOI : 10.1073/pnas.0601602103

G. Agarwal and D. Kempe, Modularity-maximizing graph communities via mathematical programming, The European Physical Journal B, vol.66, issue.3, pp.409-418, 2008.
DOI : 10.1140/epjb/e2008-00425-1
URL : http://arxiv.org/pdf/0710.2533v3.pdf

S. Boccaletti, M. Ivanchenko, V. Latora, A. Pluchino, and A. Rapisarda, Detecting complex network modularity by dynamical clustering, Physical Review E, vol.75, issue.4, pp.75-045102, 2007.
DOI : 10.1103/PhysRevE.75.045102

H. Djidjev, A Scalable Multilevel Algorithm for Graph Clustering and Community Structure Detection, Lecture Notes in Computer Science, vol.4936, pp.117-128, 2008.
DOI : 10.1007/978-3-540-78808-9_11

J. Mei, S. He, G. Shi, Z. Wang, and W. Li, Revealing network communities through modularity maximization by a contraction???dilation method, New Journal of Physics, vol.11, issue.4, p.43025, 2009.
DOI : 10.1088/1367-2630/11/4/043025

Y. Niu, B. Hu, W. Zhang, and M. Wang, Detecting the community structure in complex networks based on quantum mechanics, Physica A: Statistical Mechanics and its Applications, vol.387, issue.24, pp.6215-6224, 2008.
DOI : 10.1016/j.physa.2008.07.008

V. Blondel, J. 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

D. Chen, Y. Fu, and M. Shang, A fast and efficient heuristic algorithm for detecting community structures in complex networks, Physica A: Statistical Mechanics and its Applications, vol.388, issue.13, pp.2741-2749, 2009.
DOI : 10.1016/j.physa.2009.03.022

J. Ruan and W. Zhang, Identifying network communities with a high resolution, Physical Review E, vol.77, issue.1, p.16104, 2008.
DOI : 10.1103/PhysRevE.77.016104

Y. Fan, M. Li, P. Zhang, J. Wu, and Z. Di, Accuracy and precision of methods for community identification in weighted networks, Physica A: Statistical Mechanics and its Applications, vol.377, issue.1, pp.363-372, 2007.
DOI : 10.1016/j.physa.2006.11.036

M. Newman, Fast algorithm for detecting community structure in networks, Physical Review E, vol.69, issue.6, p.66133, 2004.
DOI : 10.1103/PhysRevE.69.066133

A. Clauset, M. Newman, and C. Moore, Finding community structure in very large networks, Physical Review E, vol.70, issue.6, p.66111, 2004.
DOI : 10.1103/PhysRevE.70.066111

L. Danon, A. Diaz-guilera, and A. Arenas, The effect of size heterogeneity on community identification in complex networks, Journal of Statistical Mechanics: Theory and Experiment, vol.2006, issue.11, p.11010, 2006.
DOI : 10.1088/1742-5468/2006/11/P11010

K. Wakita and T. Tsurumi, Finding community structure in mega-scale social networks, Proceedings of the 16th international conference on World Wide Web , WWW '07, p.arXiv, 2007.
DOI : 10.1145/1242572.1242805

P. Schuetz and A. Caflisch, Efficient modularity optimization by multistep greedy algorithm and vertex mover refinement, Physical Review E, vol.77, issue.4, p.46112, 2008.
DOI : 10.1103/PhysRevE.77.046112
URL : http://arxiv.org/abs/0712.1163

S. Cafieri, P. Hansen, and L. Liberti, Locally optimal heuristic for modularity maximization of networks, Physical Review E, vol.83, issue.5, p.56105, 2011.
DOI : 10.1103/PhysRevE.83.056105
URL : https://hal.archives-ouvertes.fr/hal-00934660

G. Xu, S. Tsoka, and L. Papageorgiou, Finding community structures in complex networks using mixed integer optimisation, The European Physical Journal B, vol.579, issue.2, pp.231-239, 2007.
DOI : 10.1140/epjb/e2007-00331-0

U. Brandes, D. Delling, M. Gaertler, R. Görke, M. Hoefer et al., On Modularity Clustering, IEEE Transactions on Knowledge and Data Engineering, vol.20, issue.2, pp.172-188, 2008.
DOI : 10.1109/TKDE.2007.190689

M. Grötschel and Y. Wakabayashi, A cutting plane algorithm for a clustering problem, Mathematical Programming, vol.7, issue.1-3, pp.59-96, 1989.
DOI : 10.1007/BF01589097

M. Grötschel and Y. Wakabayashi, Facets of the clique partitioning polytope, Mathematical Programming, vol.7, issue.1-3, pp.47-367, 1990.
DOI : 10.1007/BF01580870

D. Aloise, S. Cafieri, G. Caporossi, P. Hansen, L. Liberti et al., Column generation algorithms for exact modularity maximization in networks, Physical Review E, vol.82, issue.4, p.46112, 2010.
DOI : 10.1103/PhysRevE.82.046112
URL : https://hal.archives-ouvertes.fr/hal-00934661

A. Noack and R. Rotta, Multi-level Algorithms for Modularity Clustering, Lecture Notes in Computer Science, vol.5526, pp.257-268, 2009.
DOI : 10.1007/978-3-642-02011-7_24
URL : http://arxiv.org/abs/0812.4073

D. Lusseau, K. Schneider, O. Boisseau, P. Haase, E. Slooten et al., The bottlenose dolphin community of Doubtful Sound features a large proportion of long-lasting associations, Behavioral Ecology and Sociobiology, vol.54, issue.4, pp.396-405, 2003.
DOI : 10.1007/s00265-003-0651-y

D. Knuth, The Stanford GraphBase: A Platform for Combinatorial Computing, 1993.

L. Dartnell, E. Simeonidis, M. Hubank, S. Tsoka, I. Bogle et al., Robustness of the p53 network and biological hackers, FEBS Letters, vol.28, issue.14, pp.3037-3042, 2005.
DOI : 10.1016/j.febslet.2005.03.101

M. Girvan and M. Newman, Community structure in social and biological networks, Proceedings of the National Academy of Sciences, pp.7821-7826, 2002.
DOI : 10.1073/pnas.122653799

R. Guimerà, L. Danon, A. Diaz-guilera, F. Giralt, and A. , Self-similar community structure in a network of human interactions, Physical Review E, vol.68, issue.6, p.65103, 2003.
DOI : 10.1103/PhysRevE.68.065103

D. Watts and S. Strogatz, Collective dynamics of 'small-world' networks, Nature, vol.393, issue.6684, pp.409-410, 1998.