Boundary spanning roles and organization structure, The Academy of Management Review, vol.2, issue.2, pp.217-230, 1977. ,
Hyperbolic Geometry, 2005. ,
DOI : 10.1007/978-1-4471-3987-4
Multilevel graph layout by topological features, IEEE Transactions on Visualization and Computer Graphics, vol.13, issue.2, pp.305-317 ,
Steerable exploration of graph hierarchy space. Visualization and Computer Graphics, IEEE Transactions on, vol.14, issue.4, pp.900-913 ,
Tulip ??? A Huge Graph Visualization Framework, 2003. ,
DOI : 10.1007/978-3-642-18638-7_5
An algorithm for partitioning the nodes of a graph, Proceedings of the 20th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes, pp.303-304, 1981. ,
Gephi: An open source software for exploring and manipulating networks, Proceedings of the International AAAI Conference on Weblogs and Social Media, 2009. ,
Visual analysis of large graphs using (x,y)-clustering and hybrid visualizations. Visualization and Computer Graphics, IEEE Transactions on, issue.11, pp.171587-1598, 2011. ,
Multi-circular layout of micro/macro graphs, Proceedings of the 15th international conference on Graph drawing, GD'07, pp.255-267, 2008. ,
Adaptive control processes: a guided tour. Rand Corporation Research studies, 1961. ,
Pattern Recognition with Fuzzy Objective Function Algorithms, 1981. ,
DOI : 10.1007/978-1-4757-0450-1
Fast unfolding of communities in large networks, Journal of Statistical Mechanics: Theory and Experiment, vol.2008, issue.10, pp.2008-10008, 2008. ,
DOI : 10.1088/1742-5468/2008/10/P10008
URL : https://hal.archives-ouvertes.fr/hal-01146070
Modern multidimensional scaling : theory and applications. Springer series in statistics, 1997. ,
DOI : 10.1007/978-1-4757-2711-1
How to draw clustered-weighted graphs using a multilevel force-directed graph drawing algorithm, Information Visualization IV '07. 11th International Conference, pp.757-764, 2007. ,
A faster algorithm for betweenness centrality*, The Journal of Mathematical Sociology, vol.113, issue.2, pp.163-177, 2001. ,
DOI : 10.1016/S0378-8733(97)00007-5
Engineering graph clustering: Models and experimental evaluation, Journal of Experimental Algorithmics, vol.12, pp.1-26, 2008. ,
Drawing Clusters and Hierarchies, Drawing Graphs, pp.193-227, 2001. ,
DOI : 10.1007/3-540-44969-8_8
A new cell-based clustering method for large, high-dimensional data in data mining applications, Proceedings of the 2002 ACM symposium on Applied computing, SAC '02, pp.503-507, 2002. ,
Entropy-based subspace clustering for mining numerical data, Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '99, pp.84-93, 1999. ,
DOI : 10.1145/312129.312199
Self-organizing Maps in Web Mining and Semantic Web, 2010. ,
Handbook of Graph Drawing and Visualization (Discrete Mathematics and Its Applications), chapter The Open Graph Drawing Framework (OGDF) Number 17, 2007. ,
Finding community structure in very large networks, Physical Review E, vol.70, issue.6, p.66111, 2004. ,
DOI : 10.1103/PhysRevE.70.066111
A review of overview+detail, zooming, and focus+context interfaces, ACM Computing Surveys, vol.41, issue.1, pp.1-231, 2009. ,
DOI : 10.1145/1456650.1456652
The hidden power of social networks: Understanding how work really gets done in organizations, 2004. ,
Applications of convex analysis to multidimensional scaling, Recent Developments in Statistics, pp.133-146, 1977. ,
Algorithms for drawing graphs: an annotated bibliography, Computational Geometry, vol.4, issue.5, pp.235-282, 1994. ,
DOI : 10.1016/0925-7721(94)00014-X
Graph visualization techniques for web clustering engines. Visualization and Computer Graphics, IEEE Transactions on, vol.13, issue.2, pp.294-304, 2007. ,
Measures of the Amount of Ecologic Association Between Species, Ecology, vol.26, issue.3, pp.297-302, 1945. ,
DOI : 10.2307/1932409
Basic linear algebra subprograms, 1990. ,
Community detection in large-scale social networks, Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis , WebKDD/SNA-KDD '07, pp.16-25, 2007. ,
DOI : 10.1145/1348549.1348552
Multilevel visualization of clustered graphs, Graph Drawing, pp.101-112, 1997. ,
DOI : 10.1007/3-540-62495-3_41
A heuristic for graph drawing, Congressus Numerantium, pp.149-160, 1984. ,
A Taxonomy of Clutter Reduction for Information Visualisation, IEEE Transactions on Visualization and Computer Graphics, vol.13, issue.6, pp.1216-1223, 2007. ,
DOI : 10.1109/TVCG.2007.70535
Graphviz??? Open Source Graph Drawing Tools, Graph Drawing, pp.483-484, 2001. ,
DOI : 10.1007/3-540-45848-4_57
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.87.9389
Efficient identification of Web communities, Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '00, pp.150-160, 2000. ,
DOI : 10.1145/347090.347121
Benchmarking graph-based clustering algorithms, Image and Vision Computing, vol.27, issue.7, pp.979-988, 2009. ,
DOI : 10.1016/j.imavis.2008.05.002
Maximal flow through a network, Journal canadien de math??matiques, vol.8, issue.0, pp.399-404, 1956. ,
DOI : 10.4153/CJM-1956-045-5
Community detection in graphs, Physics Reports, vol.486, issue.3-5, pp.3-575, 2010. ,
DOI : 10.1016/j.physrep.2009.11.002
UCI machine learning repository, 2010. ,
A Set of Measures of Centrality Based on Betweenness, Sociometry, vol.40, issue.1, pp.35-41, 1977. ,
DOI : 10.2307/3033543
Graph drawing by force-directed placement, Software: Practice and Experience, vol.41, issue.11, pp.1129-1164, 1991. ,
DOI : 10.1002/spe.4380211102
Network Analysis: Methodological Foundations, chapter Clustering, pp.178-215, 2005. ,
Topological Fisheye Views for Visualizing Large Graphs, IEEE Transactions on Visualization and Computer Graphics, vol.11, issue.4, pp.457-468, 2005. ,
DOI : 10.1109/TVCG.2005.66
Crossing Number is NP-Complete, SIAM Journal on Algebraic Discrete Methods, vol.4, issue.3, pp.312-316, 1983. ,
DOI : 10.1137/0604033
Community structure in social and biological networks, Proceeding of the National Academy of Sciences of the United States of America, pp.997821-7826, 2002. ,
DOI : 10.1073/pnas.122653799
A new gravitational clustering algorithm, SDM, 2003. ,
Performance of modularity maximization in practical contexts, Physical Review E, vol.81, issue.4, 2010. ,
DOI : 10.1103/PhysRevE.81.046106
Classification. Number 82 in Monographs on Statistics and Applied Probability, 1999. ,
Cartography of complex networks: modules and universal roles, Journal of Statistical Mechanics: Theory and Experiment, vol.2005, issue.02, p.2001, 2005. ,
DOI : 10.1088/1742-5468/2005/02/P02001
Validation indices for graph clustering, Pattern Recognition Letters, vol.24, issue.8, pp.1107-1113, 2003. ,
DOI : 10.1016/S0167-8655(02)00257-X
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2009. ,
prefuse, Proceedings of the SIGCHI conference on Human factors in computing systems , CHI '05, pp.421-430, 2005. ,
DOI : 10.1145/1054972.1055031
Improving the readability of clustered social networks using node duplication. Visualization and Computer Graphics, IEEE Transactions on, issue.6, pp.141317-1324, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-00702012
Nodetrix: a hybrid visualization of social networks. Visualization and Computer Graphics, IEEE Transactions on, vol.13, issue.6, pp.1302-1309, 2007. ,
URL : https://hal.archives-ouvertes.fr/hal-00689983
Density functions for visual attributes and effective partitioning in graph visualization, IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings, p.49, 2000. ,
DOI : 10.1109/INFVIS.2000.885090
Hierarchical edge bundles: Visualization of adjacency relations in hierarchical data. Visualization and Computer Graphics, IEEE Transactions on, vol.12, issue.5, pp.741-748, 2006. ,
A Fully Animated Interactive System for Clustering and Navigating Huge Graphs, Proceedings of the 6th International Symposium on Graph Drawing, GD '98, pp.374-383, 1998. ,
DOI : 10.1007/3-540-37623-2_29
A framework of filtering, clustering and dynamic layout graphs for visualization, ACSC '05: Proceedings of the Twenty-eighth Australasian conference on Computer Science, pp.87-96, 2005. ,
Comparing partitions, Journal of Classification, vol.78, issue.1, pp.193-218, 1985. ,
DOI : 10.1007/BF01908075
QUADRATIC ASSIGNMENT AS A GENERAL DATA ANALYSIS STRATEGY, British Journal of Mathematical and Statistical Psychology, vol.29, issue.2, pp.190-241, 1976. ,
DOI : 10.1111/j.2044-8317.1976.tb00714.x
On the mean accuracy of statistical pattern recognizers, IEEE Transactions on Information Theory, vol.14, issue.1, pp.55-63, 1968. ,
DOI : 10.1109/TIT.1968.1054102
Glimmer: Multilevel MDS on the GPU, IEEE Transactions on Visualization and Computer Graphics, vol.15, issue.2, pp.249-261, 2009. ,
DOI : 10.1109/TVCG.2008.85
Algorithms for Clustering Data, 1988. ,
An algorithm for drawing general undirected graphs, Information Processing Letters, vol.31, issue.1, pp.7-15, 1989. ,
DOI : 10.1016/0020-0190(89)90102-6
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
Self-Organizing Maps, 1997. ,
Visual Exploration of Complex Time-Varying Graphs, IEEE Transactions on Visualization and Computer Graphics, vol.12, issue.5, pp.805-812, 2006. ,
DOI : 10.1109/TVCG.2006.193
Mining communities in networks: a solution for consistency and its evaluation, IMC '09: Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference, pp.301-314, 2009. ,
A focus+context technique based on hyperbolic geometry for visualizing large hierarchies, Proceedings of the SIGCHI conference on Human factors in computing systems, CHI '95, pp.401-408, 1995. ,
DOI : 10.1145/223904.223956
Basic notions for the analysis of large two-mode networks, Social Networks, vol.30, issue.1, pp.31-48, 2008. ,
DOI : 10.1016/j.socnet.2007.04.006
URL : https://hal.archives-ouvertes.fr/hal-01146080
Entropy-based criterion in categorical clustering, Twenty-first international conference on Machine learning , ICML '04, p.68, 2004. ,
DOI : 10.1145/1015330.1015404
Adding filtering to geometric distortion to visualize a clustered graph on small screens, Proceedings of the 2004 Australasian symposium on Information Visualisation, pp.71-79, 2004. ,
Agglomerative genetic algorithm for clustering in social networks, GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pp.1243-1250, 2009. ,
Clustering through decision tree construction, Proceedings of the ninth international conference on Information and knowledge management , CIKM '00, pp.20-29, 2000. ,
DOI : 10.1145/354756.354775
Fuzzy modularity and fuzzy community structure in networks, The European Physical Journal B, vol.54, issue.4, pp.547-557, 1140. ,
DOI : 10.1140/epjb/e2010-00290-3
A tutorial on spectral clustering, Statistics and Computing, vol.21, issue.1, pp.395-416, 2007. ,
DOI : 10.1007/s11222-007-9033-z
Some methods for classification and analysis of multivariate observation, Proceedings of Berkely symposium on mathematical statistics and probability, pp.281-297, 1967. ,
The Planar k-Means Problem is NP-Hard, WALCOM: Algorithms and Computation, pp.274-285978, 1007. ,
DOI : 10.1109/TC.1981.6312176
Multivariate analysis, 1979. ,
Performance evaluation of some clustering algorithms and validity indices, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.12, pp.1650-1654, 2002. ,
DOI : 10.1109/TPAMI.2002.1114856
Edge Metrics for Visual Graph Analytics: A Comparative Study, 2008 12th International Conference Information Visualisation, pp.610-615, 2008. ,
DOI : 10.1109/IV.2008.10
Clustering for Data Mining: a Data Recovery Approach . Number 3 in Computer Science and Data Analysis Series, 2005. ,
DOI : 10.1201/9781420034912
Drawing Graphs in the Hyperbolic Plane, Graph Drawing, pp.127-1363, 1007. ,
DOI : 10.1007/3-540-46648-7_13
An efficient visualization of hierarchical structures, Enterprise networking and Computing in Healthcare Industry, 2005. HEALTHCOM 2005. Proceedings of 7th International Workshop on, pp.419-425, 2005. ,
Mafia: Efficient and scalable subspace clustering for very large data sets, 1999. ,
Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality, Physical Review E, vol.64, issue.1, p.7, 2001. ,
DOI : 10.1103/PhysRevE.64.016132
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
Fast algorithm for detecting community structure in networks, Physical Review E, vol.69, issue.6, p.66133, 2004. ,
DOI : 10.1103/PhysRevE.69.066133
Finding and evaluating community structure in networks, Physical Review E, vol.69, issue.2, p.26113, 2004. ,
DOI : 10.1103/PhysRevE.69.026113
An Energy Model for Visual Graph Clustering, Proceedings of the 11th International Symposium on Graph Drawing LNCS 2912, pp.425-436, 2003. ,
DOI : 10.1007/978-3-540-24595-7_40
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.3.3319
Social topic models for community extraction, The 2nd SNA-KDD Workshop '08 (SNA-KDD'08), 2008. ,
Visual social network analytics for relationship discovery in the enterprise, 2011 IEEE Conference on Visual Analytics Science and Technology (VAST), pp.71-79, 2011. ,
DOI : 10.1109/VAST.2011.6102443
Community detection in social networks with genetic algorithms, Proceedings of the 10th annual conference on Genetic and evolutionary computation, GECCO '08, pp.1137-1138, 2008. ,
DOI : 10.1145/1389095.1389316
GA-Net: A Genetic Algorithm for Community Detection in Social Networks, Parallel Problem Solving from Nature -PPSN X, pp.1081-1090, 2008. ,
DOI : 10.1007/978-3-540-87700-4_107
Overlapped community detection in complex networks, Proceedings of the 11th Annual conference on Genetic and evolutionary computation, GECCO '09, pp.859-866, 2009. ,
DOI : 10.1145/1569901.1570019
A Monte Carlo algorithm for fast projective clustering, Proceedings of the 2002 ACM SIGMOD international conference on Management of data , SIGMOD '02, pp.418-427, 2002. ,
DOI : 10.1145/564691.564739
Graph Layout Aesthetics in UML Diagrams: User Preferences, J. Graph Algorithms Appl, vol.6, pp.255-279, 2002. ,
DOI : 10.1142/9789812796608_0013
An experimental study of the basis for graph drawing algorithms, Journal of Experimental Algorithmics, vol.2, issue.2, 1997. ,
DOI : 10.1145/264216.264222
Objective Criteria for the Evaluation of Clustering Methods, Journal of the American Statistical Association, vol.15, issue.336, pp.846-850, 1971. ,
DOI : 10.1080/01621459.1963.10500845
Graph clustering with network structure indices, Proceedings of the 24th international conference on Machine learning, ICML '07, pp.783-790, 2007. ,
DOI : 10.1145/1273496.1273595
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.145.4824
Information Retrieval, 1979. ,
Ordination on the basis of fuzzy set theory, Vegetatio, vol.8, issue.3, pp.123-131, 1986. ,
DOI : 10.1007/BF00039905
Silhouettes: A graphical aid to the interpretation and validation of cluster analysis, Journal of Computational and Applied Mathematics, vol.20, issue.1, pp.53-65, 1987. ,
DOI : 10.1016/0377-0427(87)90125-7
Using content and interactions for discovering communities in social networks, Proceedings of the 21st international conference on World Wide Web, WWW '12, pp.331-340, 2012. ,
DOI : 10.1145/2187836.2187882
Overlapping Clustered Graphs: Co-authorship Networks Visualization, Smart Graphics, pp.190-199, 2008. ,
DOI : 10.1007/978-3-540-85412-8_17
Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks, Genome Research, vol.13, issue.11, pp.2498-2504, 2003. ,
DOI : 10.1101/gr.1239303
Visual analysis of large heterogeneous social networks by semantic and structural abstraction. Visualization and Computer Graphics, IEEE Transactions on, vol.12, issue.6, pp.1427-1439, 2006. ,
Normalized cuts and image segmentation, IEEE Transactions Pattern Analysis and Machine Intelligence, vol.22, issue.8, pp.888-905, 2000. ,
Himap: Adaptive visualization of large-scale online social networks, Visualization Symposium, pp.41-48, 2009. ,
On Embedding a Graph in the Grid with the Minimum Number of Bends, SIAM Journal on Computing, vol.16, issue.3, pp.421-444, 1987. ,
DOI : 10.1137/0216030
Node similarities from spreading activation, Data Mining (ICDM), 2010 IEEE 10th International Conference on, pp.1085-1090, 2010. ,
Email as Spectroscopy: Automated Discovery of Community Structure within Organizations, Communities and technologies, chapter Email as spectroscopy: automated discovery of community structure within organizations, pp.81-96, 2003. ,
DOI : 10.1007/978-94-017-0115-0_5
Finding community structure in mega-scale social networks, Proceedings of the 16th international conference on World Wide Web , WWW '07, 2007. ,
DOI : 10.1145/1242572.1242805
Social Network Analysis: Methods and Applications. Number 8 in Structural Analysis in the Social Science, 1994. ,
DOI : 10.1017/CBO9780511815478
Edgelens: an interactive method for managing edge congestion in graphs, IEEE Symposium on Information Visualization 2003 (IEEE Cat. No.03TH8714), pp.51-58, 2003. ,
DOI : 10.1109/INFVIS.2003.1249008
Have Green ?? A Visual Analytics Framework for Large Semantic Graphs, 2006 IEEE Symposium On Visual Analytics And Technology, pp.67-74, 2006. ,
DOI : 10.1109/VAST.2006.261432
A validity measure for fuzzy clustering. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.13, issue.8, pp.841-847, 1991. ,
Graph nodes clustering with the sigmoid commute-time kernel: A comparative study, Data & Knowledge Engineering, vol.68, issue.3, pp.338-361, 2009. ,
DOI : 10.1016/j.datak.2008.10.006
Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths, Advances in Data Mining. Applications and Theoretical Aspects, pp.42-56978, 1007. ,
DOI : 10.1007/978-3-642-14400-4_4
URL : https://hal.archives-ouvertes.fr/inria-00542690
Comparison of agglomerative and partitional document clustering algorithms, 2002. ,
Graph clustering based on structural/attribute similarities, Proc. VLDB Endow, 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