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

G. Palla, I. Derenyi, I. Farkas, and T. Vicsek, Uncovering the overlapping community structure of complex networks in nature and society, Nature, vol.387, issue.7043, 2005.
DOI : 10.1038/nature03248

T. S. Evans and R. Lambiotte, Line graphs, link partitions, and overlapping communities, Physical Review E, vol.80, issue.1, 2009.
DOI : 10.1103/PhysRevE.80.016105

D. Vincent, J. Blondel, R. Guillaume, E. Lambiotte, and . Lefebvre, Fast unfolding of communities in large networks, J. Stat. Mech, 2008.

M. Girvan and M. E. Newman, Community structure in social and biological networks, Proceedings of the National Academy of Sciences, vol.99, issue.12, pp.7821-7826, 2002.
DOI : 10.1073/pnas.122653799

A. Clauset, Finding local community structure in networks, Physical Review E, vol.72, issue.2, p.26132, 2005.
DOI : 10.1103/PhysRevE.72.026132

F. Luo, J. Z. Wang, and E. Promislow, Exploring Local Community Structures in Large Networks, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06), p.233239, 2006.
DOI : 10.1109/WI.2006.72

J. Chen, R. Osmar, R. Zaiane, and . Goebel, Local Community Identification in Social Networks, 2009 International Conference on Advances in Social Network Analysis and Mining, 2009.
DOI : 10.1109/ASONAM.2009.14

B. Ngonmang, M. Tchuente, and E. Viennet, Local communities identification in social networks'. Parallel Processing Letters, 2012.

A. Friggeri, G. Chelius, and E. Fleury, Triangles to Capture Social Cohesion, 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing, 2011.
DOI : 10.1109/PASSAT/SocialCom.2011.169

URL : https://hal.archives-ouvertes.fr/inria-00608889

M. Sozio and A. Gionis, The community-search problem and how to plan a successful cocktail party, Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '10, pp.939-948, 2010.
DOI : 10.1145/1835804.1835923

M. Newman, Finding community structure in networks using the eigenvectors of matrices, Physical Review E, vol.74, issue.3, 2006.
DOI : 10.1103/PhysRevE.74.036104

G. Palla, I. J. Farkas1, and P. Pollner, Fundamental statistical features and self-similar properties of tagged networks, New Journal of Physics, vol.10, issue.12, p.123026, 2008.
DOI : 10.1088/1367-2630/10/12/123026

A. Lancichinetti and S. Fortunato, Benchmarks for testing community detection algorithms on directed and weighted graphs with overlapping communities, Physical Review E, vol.80, issue.1, 2009.
DOI : 10.1103/PhysRevE.80.016118

M. Danisch, J. Guillaume, and B. Le-grand, Towards multi-ego-centered communities: a node similarity approach, Int. J. of Web Based Communities, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00823315

M. Danisch, J. Guillaume, and B. Le-grand, Unfolding Ego-Centered Community Structures with ???A Similarity Approach???, Complex Networks IV, p.145153, 2013.
DOI : 10.1007/978-3-642-36844-8_14

URL : https://hal.archives-ouvertes.fr/hal-01217390

H. Tong and C. Faloutsos, Center-piece subgraphs, Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '06, pp.404-413, 2006.
DOI : 10.1145/1150402.1150448

Y. Koren, . North, C. Stephen, and C. Volinsky, Measuring and extracting proximity graphs in networks, ACM Transactions on Knowledge Discovery from Data, vol.1, issue.3, p.12, 2007.
DOI : 10.1145/1297332.1297336

N. Tatti and A. Gionis, Discovering Nested Communities. Machine Learning and Knowledge Discovery in Databases, pp.32-47, 2013.