. Ogdf-website,

. Dblp-website,

W. Aigner, S. Miksch, H. Schumann, and C. Tominski, Visualization of Time-Oriented Data, vol.12, 2011.

B. Alper, N. Riche, G. Ramos, and M. Czerwinski, Design study of linesets, a novel set visualization technique, IEEE Transactions on Visualization and Computer Graphics, vol.17, issue.12, p.22592267, 2011.

D. Baur, B. Lee, and S. Carpendale, TouchWave: Kinetic Multi-touch Manipulation for Hierarchical Stacked Graphs, Proceedings of the International Conference on Interactive Tabletops and Surfaces (ITS), p.255264, 2012.

A. Richard, W. Becker, and . Cleveland, , vol.29, p.127142, 1987.

L. Berry and T. Munzner, Binx: Dynamic Exploration of Time Series Datasets Across Aggregation Levels, Proceedings of the Symposium on Information Visualization (InfoVis). IEEE, vol.8, 2004.

S. Sourav, B. Bhowmick, S. Choi, and . Zhou, VOGUE: Towards A Visual Interaction-aware Graph Query Processing Framework, Proceedings of the Biennial Conference on Innovative Data Systems Research (CIDR), 2013. (Cité aux pages xv, vol.56, p.61

F. Bonchi, A. Gionis, F. Gullo, and A. Ukkonen, Distance oracles in edgelabeled graphs, Proceedings of the International Conference on Extending Database Technology (EDBT), vol.56, p.547558, 2014.

F. Bonchi, A. Gionis, F. Gullo, and A. Ukkonen, Distance oracles in edge-labeled graphs, Proceedings of the International Conference on Extending Database Technology (EDBT), vol.69, p.547558, 2014.

R. Bourqui, D. Ienco, A. Sallaberry, and P. Poncelet, Multilayer Graph Edge Bundling, Proceedings of the Pacic Visualization Symposium (PacicVis), vol.56, p.184188, 2016.
URL : https://hal.archives-ouvertes.fr/lirmm-01304602

L. Byron and M. Wattenberg, Stacked Graphs-Geometry & Aesthetics, IEEE Transactions on Visualization and Computer Graphics, vol.14, issue.6, p.12451252, 2008.

V. Carletti, P. Foggia, A. Saggese, and M. Vento, Introducing VF3: A New Algorithm for Subgraph Isomorphism, Proceedings of the International Workshop on Graph-Based Representations in Pattern Recognition (GbRPR), p.128139, 2017.

M. Sheelagh and T. Carpendale, A Framework for Elastic Presentation Space, vol.18, 1999.

C. Duen-horng-chau, H. Faloutsos, J. I. Tong, B. Hong, T. Gallagher et al., Graphite: A visual query system for large graphs, Proceedings of the International Conference on Data Mining (ICDM), p.963966, 2008.

A. Cockburn, A. K. Karlson, and B. B. Bederson, A Review of Overview+Detail, Zooming, and Focus+Context Interfaces, ACM Computing Surveys, vol.41, issue.1, 2009.

C. Collins, G. Penn, and S. Carpendale, Bubble Sets: Revealing Set Relations with Isocontours over Existing Visualizations, IEEE Transactions on Visualization and Computer Graphics, vol.15, issue.6, p.10091016, 2009.

L. P. Cordella, P. Foggia, C. Sansone, and M. Vento, An improved algorithm for matching large graphs, Proceedings of the International Workshop on Graph-Based Representations in Pattern Recognition (GbRPR), p.149159, 2001.

E. Cuenca, A. Sallaberry, D. Ienco, and P. Poncelet, Visual Querying of Large Multilayer Graphs, Proceedings of the International Conference on Scientic and Statistical Database Management (SSDBM), pp.32-34, 2018.
URL : https://hal.archives-ouvertes.fr/lirmm-01912384

E. Cuenca, A. Sallaberry, D. Ienco, and P. Poncelet, Visual Querying and Exploring of Large Multilayer Graphs, Poster session of the IEEE Information Visualization Conference (InfoVis, 2018.
URL : https://hal.archives-ouvertes.fr/lirmm-01912384

E. Cuenca, A. Sallaberry, F. Y. Wang, and P. Poncelet, Visualizing Hierarchical Time Series with a Focus+Context Approach, Poster session of the IEEE Information Visualization Conference (InfoVis), 2017.
URL : https://hal.archives-ouvertes.fr/lirmm-01592614

E. Cuenca, A. Sallaberry, F. Y. Wang, and P. Poncelet, MultiStream: A Multiresolution Streamgraph Approach to Explore Hierarchical Time Series, IEEE Transactions on Visualization and Computer Graphics, 2018.
URL : https://hal.archives-ouvertes.fr/lirmm-01693077

W. Cui, S. Liu, L. Tan, C. Shi, Y. Song et al., TextFlow: Towards Better Understanding of Evolving Topics in Text, IEEE Transactions on Visualization and Computer Graphics, vol.17, issue.12, p.24122421, 2011.

W. Cui, S. Liu, Z. Wu, and H. Wei, How Hierarchical Topics Evolve in Large Text Corpora, IEEE Transactions on Visualization and Computer Graphics, vol.20, issue.12, p.22812290, 2014.

K. Dinkla, M. J. Van-kreveld, B. Speckmann, and . Westenberg, Kelp Diagrams: Point Set Membership Visualization, vol.31, p.875884, 2012.

W. Dou, L. Yu, X. Wang, Z. Ma, and W. Ribarsky, HierarchicalTopics: Visually Exploring Large Text Collections Using Topic Hierarchies, IEEE Transactions on Visualization and Computer Graphics, vol.19, issue.12, 2013.

L. Barrett and J. Russell, Independence and Bipolarity in the Structure of Current Aect, Journal of Personality and Social Psychology, vol.74, issue.4, p.967984, 1998.

Y. Fua, O. Matthew, E. A. Ward, and . Rundensteiner, Navigating Hierarchies with Structure-Based Brushes, Proceedings of the Symposium on Information Visualization (InfoVis), vol.19, p.5864, 1999.

G. W. Furnas, Generalized Fisheye Views, Proceedings of the Conference on Human Factors in Computing System (CHI), vol.16, p.1623, 1986.

R. Emden, Y. Gansner, and . Hu, Ecient node overlap removal using a proximity stress model, Proceedings of the International Symposium in Graph Drawing (GD), vol.79, p.206217, 2008.

M. Ghoniem, D. Luo, J. Yang, and W. Ribarsky, NewsLab: Exploratory Broadcast News Video Analysis, Proceedings of the Symposium on Visual Analytics Science and Technology (VAST), p.123130, 2007.

C. Giannella, J. Han, J. Pei, X. Yan, and P. Yu, Mining frequent patterns in data streams at multiple time granularities. Next generation data mining, vol.91, p.191212, 2003.

S. Hachul and M. Jünger, Drawing large graphs with a potential-eld-based multilevel algorithm, Proceedings of the International Symposium in Graph Drawing (GD), vol.69, p.285295, 2004.

W. Han, J. Lee, and J. Lee, Turbo iso : Towards ultrafast and robust subgraph isomorphism search in large graph databases, Proceedings of the International Conference on Management of Data (SIGMOD), p.337348, 2013.

R. L. Harris, Information Graphics: A Comprehensive Illustrated Reference, 1999.

S. Havre, E. Hetzler, and L. Nowell, ThemeRiver: Visualizing Theme Changes over Time, Proceedings of the Symposium on Information Visualization (InfoVis), p.115123, 2000.

S. Havre, E. Hetzler, P. Whitney, and L. Nowell, ThemeRiver: Visualizing Thematic Changes in Large Document Collections, IEEE Transactions on Visualization and Computer Graphics, vol.8, issue.1, p.920, 2002.

S. Huron, R. Vuillemot, and J. Fekete, Visual Sedimentation, IEEE Transactions on Visualization and Computer Graphics, vol.19, issue.12, p.24462455, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00846260

V. Ingalalli, D. Ienco, and P. Poncelet, SuMGra: Querying Multigraphs via Ecient Indexing, Proceedings of the International Conference on Database and Expert Systems Applications (DEXA), p.115, 2016.

V. Ingalalli, D. Ienco, and P. Poncelet, Mining Frequent Subgraphs in Multigraphs, Information Sciences, vol.451452, p.5066, 2018.
URL : https://hal.archives-ouvertes.fr/lirmm-01761235

R. Interdonato, A. Tagarelli, D. Ienco, A. Sallaberry, and P. Poncelet, Local community detection in multilayer networks, Data Mining and Knowledge Discovery, vol.31, issue.5, p.14441479, 2017.
URL : https://hal.archives-ouvertes.fr/lirmm-01705312

N. Jayaram, S. Goyal, and C. Li, VIIQ: Auto-Suggestion Enabled Visual Interface for Interactive Graph Query Formulation. Very Large Data Base, Cité aux pages xv, vol.8, p.61, 2015.

M. A. Jenkins, Algorithm 493: Zeros of a Real Polynomial

, ACM Transactions on Mathematical Software, vol.1, issue.2, p.178189, 1975.

C. Jiang, F. Coenen, and M. Zito, A survey of frequent subgraph mining algorithms, The Knowledge Engineering Review, vol.28, issue.1, p.75105, 2013.

M. Kaufmann and D. Wagner, Drawing graphs: Methods and models, vol.69, 2003.

A. Daniel and . Keim, Information Visualization and Visual Data Mining, IEEE Transactions on Visualization and Computer Graphics, vol.8, issue.1, p.18, 2002.

A. Lambert, F. Queyroi, and R. Bourqui, Visualizing patterns in Node-link Diagrams, Proceedings of the International Conference Information Visualization (IV), vol.77, p.4853, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00744965

L. Libkin, J. Reutter, and D. Vrgo£, Trial for rdf: Adapting graph query languages for rdf data, Proceedings of the International Symposium on Principles of Database Systems (PODS), vol.56, p.201212, 2013.

S. Liu, M. X. Zhou, S. Pan, Y. Song, W. Qian et al., TIARA: Interactive, Topic-Based Visual Text Summarization and Analysis, ACM Transactions on Intelligent Systems and Technology, vol.3, issue.2, 2012.

J. D. Mackinlay, G. G. Robertson, and S. K. Card, The Perspective Wall: Detail and Context Smoothly Integrated, Proceedings of the Conference on Human Factors in Computing System (CHI), vol.18, p.173179, 1991.

B. E. John-d-manning, J. Marciano, and . Cimino, Visualizing the Data Using Lifelines2 to Gain Insights from Data Drawn from a Clinical Data Repository, AMIA Summits on Translational Science Proceedings, vol.8, p.168, 2013.

Y. Mercadier, J. Azé, S. Bringay, V. Clavier, E. Cuenca et al., #AIDS Analyse Information Dangers Sexualité : caractériser les discours à propos du VIH dans les médias sociaux, Actes des 29es Journées francophones d'Ingénierie des Connaissances (IC), 2018.

W. Meulemans, N. Henry-riche, B. Speckmann, B. Alper, and T. Dwyer, KelpFusion: A hybrid set visualization technique, IEEE Transactions on Visualization and Computer Graphics, vol.19, issue.11, p.18461858, 2013.

D. Mottin, F. Bonchi, and F. Gullo, Graph query reformulation with diversity, Proceedings of the International Conference on Knowledge Discovery and Data Mining (SIGKDD), vol.60, p.825834, 2015.

K. Nusratullah, A. Shoab, A. Khan, W. Shah, and . Butt, Detecting Changes in Context using Time Series Analysis of Social Network, Proceedings of the Conference on Intelligent Systems (SAI IntelliSys), vol.8, p.9961001, 2015.
DOI : 10.1109/intellisys.2015.7361265

M. Paradies, W. Lehner, and C. Bornhövd, GRAPHITE: An extensible graph traversal framework for relational database management systems, Proceedings of the International Conference on Scientic and Statistical Database Management (SSDBM), vol.58, p.29, 2015.

M. Paradies, M. Rudolf, and W. Lehner, GraphVista: Interactive Exploration of Large Graphs, Cité aux pages xv, vol.56, pp.61-66, 2015.

A. Perrot, R. Bourqui, N. Hanusse, F. Lalanne, and D. Auber, Large interactive visualization of density functions on big data infrastructure, Proceedings of the International Conference on Large Data Analysis and Visualization (LDAV), vol.74, p.99106, 2015.
DOI : 10.1109/ldav.2015.7348077
URL : https://hal.archives-ouvertes.fr/hal-01188721

R. Pienta, F. Hohman, A. Endert, A. Tamersoy, K. Roundy et al., VIGOR: Interactive Visual Exploration of Graph Query Results, IEEE Transactions on Visualization and Computer Graphics, vol.24, issue.1, p.215225, 2018.
DOI : 10.1109/tvcg.2017.2744898

R. Pienta, F. Hohman, A. Tamersoy, A. Endert, S. Navathe et al., VISAGE: Interactive Visual Graph Querying, Proceedings of the International Working Conference on Advanced Visual Interfaces (AVI), p.272279, 2016.

O. Purwantiningsih, A. Sallaberry, S. Andary, and A. Seilles, Visual Analysis of Body Movement in Serious Games for Healthcare, Proceedings of the Pacic Visualization Symposium (PacicVis), vol.13, pp.229-233, 2016.
URL : https://hal.archives-ouvertes.fr/lirmm-01304601

D. Redondo, A. Sallaberry, D. Ienco, F. Zaidi, and P. Poncelet, Layer-Centered Approach for Multigraphs Visualization, Proceedings of the International Conference Information Visualization (IV), vol.56, p.5055, 2015.
DOI : 10.1109/iv.2015.20
URL : https://hal.archives-ouvertes.fr/lirmm-01275379

B. Renoust, G. Melançon, and T. Munzner, Detangler: Visual Analytics for Multiplex Networks, Computer Graphics Forum, vol.34, issue.3, p.321330, 2015.
DOI : 10.1111/cgf.12644
URL : https://hal.archives-ouvertes.fr/hal-01467984

A. Sallaberry, F. Zaidi, C. Pich, and G. Melançon, Interactive Visualization and Navigation of Web Search Results Revealing Community Structures and Bridges, Proceedings of the Graphics Interface Conference (GI), vol.79, p.105112, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00538564

M. Sarkar and . Marc-h-brown, Graphical Fisheye Views. ACM Communication, vol.37, issue.12, p.7383, 1994.

C. , H. , and R. , Time Series Analysis in Meteorology and Climatology: An Introduction. Duchon, vol.7, 2012.

B. Shneiderman, The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations, Proceedings of the Symposium on Visual Languages (VL), p.336343, 1996.

H. Tong, C. Faloutsos, B. Gallagher, and T. Eliassi-rad, Fast best-eort pattern matching in large attributed graphs, Proceedings of the International Conference on Knowledge Discovery and Data Mining (SIGKDD), p.737746, 2007.

A. Urquhart, The ineciency of Bitcoin, Economics Letters, vol.148, p.8082, 2016.

B. Fernanda, M. Viegas, F. Wattenberg, J. Van-ham, M. Kriss et al., ManyEyes: A Site for Visualization at Internet Scale, IEEE Transactions on Visualization and Computer Graphics, vol.13, issue.6, p.11211128, 2007.

F. Y. Wang, A. Sallaberry, K. Klein, M. Takatsuka, and M. Roche, SentiCompass: Interactive Visualization for Exploring and Comparing the Sentiments of Time-varying Twitter Data, Proceedings of the Pacic Visualization Symposium (PacifVis), vol.45, p.129133, 2015.
URL : https://hal.archives-ouvertes.fr/lirmm-01184555

C. Ware, Information Visualization: Perception for Design, vol.66, 2012.

M. Wattenberg, Baby Names, Visualization, and Social Data Analysis, Proceedings of the Symposium on Information Visualization (InfoVis), p.17, 2005.

M. Wattenberg and J. Kriss, Designing for Social Data Analysis, IEEE Transactions on Visualization and Computer Graphics, vol.12, issue.4, p.549557, 2006.

X. Yan and J. Han, gSpan: Graph-based substructure pattern mining, Proceedings of the International Conference on Data Mining (ICDM), p.721724, 2002.

P. Yi, B. Choi, S. Sourav, J. Bhowmick, and . Xu, AutoG: A Visual Query Autocompletion Framework for Graph Databases. Very Large Data Base, vol.9, p.15051508, 2016.

A. Zhang, Protein interaction networks: Computational analysis, vol.56, 2009.