U. Brandes, D. Delling, M. Gaertler, R. Gorke, M. Hoefer et al., On Modularity Clustering, On Modularity Clustering, pp.172-188, 2008.
DOI : 10.1109/TKDE.2007.190689

URL : https://kops.uni-konstanz.de/bitstream/123456789/5853/1/modularity.pdf

M. Chen, K. Kuzmin, and B. K. Szymanski, Community Detection via Maximization of Modularity and Its Variants, IEEE Transactions on Computational Social Systems, vol.1, issue.1, 2015.
DOI : 10.1109/TCSS.2014.2307458

URL : http://arxiv.org/abs/1507.00787

M. Crampes and M. Plantié, Détection de communautés chevauchantes dans les graphes bipartis », MARAMI 2012 : conférence sur les modèles et l'analyse des réseaux : Approches mathématiques et informatiques, 2012.

S. Fortunato and M. Barthélemy, « Resolution limit in community detection », The National Academy of Sciences, 2007.

B. Ganter and R. Wille, Formal Concept Analysis : Mathematical Foundations, 1999.

M. Huchard, M. R. Hacene, C. Roume, and P. Valtchev, Relational concept discovery in structured datasets, Annals of Mathematics and Artificial Intelligence, vol.256, issue.3, pp.1-4, 2007.
DOI : 10.1007/978-94-009-7798-3_15

URL : https://hal.archives-ouvertes.fr/lirmm-00183376

N. Jay, F. Kohler, and A. Napoli, Analysis of Social Communities with Iceberg and Stability-Based Concept Lattices, Formal Concept Analysis, pp.258-272, 2008.
DOI : 10.1007/978-3-540-78137-0_19

URL : https://hal.archives-ouvertes.fr/hal-00608180

Y. Lin, J. Sun, P. Castro, R. Konuru, H. Sundaram et al., Community Discovery via Relational Hypergraph Factorization, Proceedings of the 15th ACM SIGKDD, pp.527-536, 2009.
DOI : 10.1145/1993077.1993081

C. Roth, S. A. Obiedkov, and D. G. Kourie, ON SUCCINCT REPRESENTATION OF KNOWLEDGE COMMUNITY TAXONOMIES WITH FORMAL CONCEPT ANALYSIS, International Journal of Foundations of Computer Science, vol.69, issue.02, pp.383-404, 2008.
DOI : 10.1007/3-540-61534-2_2

M. Rouane-hacene, M. Huchard, A. Napoli, and P. Valtchev, Relational concept analysis: mining concept lattices from multi-relational data, Annals of Mathematics and Artificial Intelligence, vol.5, issue.1, pp.81-108, 2013.
DOI : 10.1007/978-94-009-7798-3_15

URL : https://hal.archives-ouvertes.fr/lirmm-00816300

Y. Sun, C. C. Aggarwal, and J. Han, Relation strength-aware clustering of heterogeneous information networks with incomplete attributes, Proceedings of the VLDB Endowment, vol.5, issue.5, pp.394-405, 2012.
DOI : 10.14778/2140436.2140437

J. Yang and J. Leskovec, « Defining and Evaluating Network Communities Based on Ground- Truth, pp.745-754, 2012.
DOI : 10.1109/icdm.2012.138

URL : http://arxiv.org/abs/1205.6233

Z. Zhang, Q. Li, D. Zeng, and H. Gao, User community discovery from multi-relational networks, Decision Support Systems, vol.54, issue.2, pp.870-879, 2013.
DOI : 10.1016/j.dss.2012.09.012