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
Multilevel Local Optimization of Modularity, pp.315-345, 2013. ,
DOI : 10.1002/9781118601181.ch13
Fast unfolding of community hierarchies in large networks, p.476, 2008. ,
Detection de communautes dans les reseaux d'information utilisant liens et attributs, 2013. ,
URL : https://hal.archives-ouvertes.fr/tel-01056985
Combining Relations and Text in Scientific Network Clustering, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp.1280-1285, 2012. ,
DOI : 10.1109/ASONAM.2012.215
URL : https://hal.archives-ouvertes.fr/hal-00730226
Entropy based community detection in augmented social networks, 2011 International Conference on Computational Aspects of Social Networks (CASoN), pp.163-168, 2011. ,
DOI : 10.1109/CASON.2011.6085937
URL : https://hal.archives-ouvertes.fr/hal-00640722
Analysis of community in social networks, 2013. ,
Community Detection based on Structural and Attribute Similarities, International Conference on Digital Society (ICDS), pp.7-12, 2012. ,
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
Structure and attributes community detection, Proceedings of the 7th Workshop on Social Network Mining and Analysis, SNAKDD '13, pp.1-10, 2013. ,
DOI : 10.1145/2501025.2501034
-Center Problem, SIAM International Conference on Data Mining, pp.25-46, 2006. ,
DOI : 10.1137/1.9781611972764.22
URL : https://hal.archives-ouvertes.fr/halshs-01362486
Algorithms for graph partitioning: a survey, Science, vol.3, issue.10, 1998. ,
Graph Clustering and Minimum Cut Trees, Internet Mathematics, vol.1, issue.4, pp.385-408, 2003. ,
DOI : 10.1080/15427951.2004.10129093
Community detection in graphs, Physics Reports, vol.486, issue.3-5, pp.75-174, 2010. ,
DOI : 10.1016/j.physrep.2009.11.002
Joint cluster analysis of attribute data and relationship data, ACM Transactions on Knowledge Discovery from Data, vol.2, issue.2, pp.1-35, 2008. ,
DOI : 10.1145/1376815.1376816
Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two Paradigms, 2010 IEEE International Conference on Data Mining, pp.845-850, 2010. ,
DOI : 10.1109/ICDM.2010.95
DB-CSC: a density-based approach for subspace clustering in graphs with feature vectors. Machine Learning and Knowledge Discovery in Databases pp, pp.565-580, 2011. ,
An Efficient Heuristic Procedure for Partitioning Graphs, Bell System Technical Journal, vol.49, issue.2, pp.291-307, 1970. ,
DOI : 10.1002/j.1538-7305.1970.tb01770.x
Community detection algorithms: A comparative analysis, Physical Review E, vol.80, issue.5, p.56117, 2009. ,
DOI : 10.1103/PhysRevE.80.056117
Scalable community discovery on textual data with relations, Proceeding of the 17th ACM conference on Information and knowledge mining, CIKM '08, pp.1203-1212, 2008. ,
DOI : 10.1145/1458082.1458241
Joint Cluster Analysis of Attribute and Relationship Data Without A-Priori Specification of the Number of Clusters, 13th ACM SIGKDD conference on knowledge discovery and data mining, pp.510-519, 2007. ,
Detecting community structure in networks, The European Physical Journal B - Condensed Matter, vol.38, issue.2, pp.321-330, 2004. ,
DOI : 10.1140/epjb/e2004-00124-y
Modularity and community structure in networks, Proceedings of the National Academy of Sciences, vol.103, issue.23, pp.8577-8696, 2006. ,
DOI : 10.1073/pnas.0601602103
Finding and evaluating community structure in networks, Physical Review E, vol.69, issue.2, pp.1-16, 2004. ,
DOI : 10.1103/PhysRevE.69.026113
Mining Graph Topological Patterns: Finding Covariations among Vertex Descriptors, IEEE Transactions on Knowledge and Data Engineering, vol.25, issue.9, pp.2090-2104, 2013. ,
DOI : 10.1109/TKDE.2012.154
URL : https://hal.archives-ouvertes.fr/hal-01351727
Statistical mechanics of community detection, Physical Review E, vol.74, issue.1, p.16110, 2006. ,
DOI : 10.1103/PhysRevE.74.016110
Scalable graph clustering using stochastic flows, Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '09, pp.737-746, 2009. ,
DOI : 10.1145/1557019.1557101
Graph clustering, Computer Science Review, vol.1, issue.1, pp.27-64, 2007. ,
DOI : 10.1016/j.cosrev.2007.05.001
Normalized cuts and image segmentation. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.22, issue.8, pp.888-905, 2000. ,
From Frequent Features to Frequent Social Links, International Journal of Information System Modeling and Design, vol.4, issue.3, pp.76-98, 2013. ,
DOI : 10.4018/jismd.2013070104
URL : https://hal.archives-ouvertes.fr/hal-00786166
Community detection in a large real-world social network. Social Computing, Behavioral Modeling, and Prediction pp, pp.168-175, 2008. ,
Cluster ensembles -a knowledge reuse framework for combining multiple partitions, The Journal of Machine Learning Research, vol.3, p.583617, 2003. ,
A tutorial on spectral clustering, Statistics and Computing, vol.21, issue.1, pp.395-416, 2007. ,
DOI : 10.1007/s11222-007-9033-z
Community Detection in Networks with Node Attributes, 2013 IEEE 13th International Conference on Data Mining, pp.1151-1156, 2013. ,
DOI : 10.1109/ICDM.2013.167
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
Clustering Large Attributed Graphs: An Efficient Incremental Approach, 2010 IEEE International Conference on Data Mining, pp.689-698, 2010. ,
DOI : 10.1109/ICDM.2010.41
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.642.96