. Neurolines, A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity, IEEE Transactions on Visualization and Computer Graphics, vol.20, issue.12, pp.2369-2378

B. Alper, B. Bach, N. Henry-riche, T. Isenberg, and J. Fekete, Weighted graph comparison techniques for brain connectivity analysis, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI '13, 2013.
DOI : 10.1145/2470654.2470724
URL : https://hal.archives-ouvertes.fr/hal-00780999

D. Archambault, H. C. Purchase, and B. Pinaud, Animation, Small Multiples, and the Effect of Mental Map Preservation in Dynamic Graphs, IEEE Transactions on Visualization and Computer Graphics, vol.17, issue.4, pp.539-552, 2011.
DOI : 10.1109/TVCG.2010.78
URL : https://hal.archives-ouvertes.fr/inria-00472423

B. Bach, N. Henry-riche, T. Dwyer, T. Madhyastha, J. Fekete et al., Small MultiPiles: Piling Time to Explore Temporal Patterns in Dynamic Networks, Computer Graphics Forum, vol.26, issue.9, pp.31-40, 2015.
DOI : 10.1111/cgf.12615
URL : https://hal.archives-ouvertes.fr/hal-01158987

B. Bach, E. Pietriga, and J. Fekete, GraphDiaries: Animated Transitions andTemporal Navigation for Dynamic Networks, IEEE Transactions on Visualization and Computer Graphics, vol.20, issue.5, pp.740-754, 2014.
DOI : 10.1109/TVCG.2013.254

B. Bach, E. Pietriga, and J. Fekete, Visualizing dynamic networks with matrix cubes, Proceedings of the 32nd annual ACM conference on Human factors in computing systems, CHI '14, 2014.
DOI : 10.1145/2556288.2557010
URL : https://hal.archives-ouvertes.fr/hal-00931911

F. Beck, M. Burch, S. Diehl, and D. Weiskopf, The state art in visualizing dynamic graphs, EuroVis State-of-the-Art Reports (STARS), 2014.

P. Bellavista, A. Corradi, M. Fanelli, and L. Foschini, A survey of context data distribution for mobile ubiquitous systems, ACM Computing Surveys, vol.44, issue.4, 2012.
DOI : 10.1145/2333112.2333119

U. Brandes and B. Nick, Asymmetric Relations in Longitudinal Social Networks, IEEE Transactions on Visualization and Computer Graphics, vol.17, issue.12, pp.2283-2290, 2011.
DOI : 10.1109/TVCG.2011.169

M. Burch, C. Vehlow, F. Beck, S. Diehl, and D. Weiskopf, Parallel Edge Splatting for Scalable Dynamic Graph Visualization, IEEE Transactions on Visualization and Computer Graphics, vol.17, issue.12, pp.2344-2353, 2011.
DOI : 10.1109/TVCG.2011.226

L. Byron and M. Wattenberg, Stacked Graphs – Geometry & Aesthetics, IEEE Transactions on Visualization and Computer Graphics, vol.14, issue.6, pp.1245-1252, 2008.
DOI : 10.1109/TVCG.2008.166

. Fekete, ZAME: Interactive Large-Scale Graph Visualization, Proc. IEEE Pacific Symposium on Visualization, pp.215-222, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00273796

M. Farrugia, N. Hurley, and A. Quigley, Exploring temporal ego networks using small multiples and tree-ring layouts, Proc. International Conference on Advances in Computer-Human Interactions, pp.79-88, 2011.

D. Fisher, Using Egocentric Networks to Understand Communication, IEEE Internet Computing, vol.9, issue.5, pp.20-28, 2005.
DOI : 10.1109/MIC.2005.114

M. Freire, C. Plaisant, B. Shneiderman, and J. Golbeck, ManyNets, Proceedings of the 28th international conference on Human factors in computing systems, CHI '10, pp.213-222, 2010.
DOI : 10.1145/1753326.1753358

C. Friedrich and P. Eades, The Marey Graph Animation Tool Demo, pp.396-406, 2001.
DOI : 10.1007/3-540-44541-2_37

M. Ghoniem, J. Fekete, and P. Castagliola, On the Readability of Graphs Using Node-Link and Matrix-Based Representations: A Controlled Experiment and Statistical Analysis, Information Visualization, vol.1, issue.2, pp.114-135, 2005.
DOI : 10.1057/palgrave.ivs.9500092
URL : https://hal.archives-ouvertes.fr/hal-00340790

M. Greilich, M. Burch, and S. Diehl, Visualizing the Evolution of Compound Digraphs with TimeArcTrees, Computer Graphics Forum, vol.21, issue.4, pp.975-982, 2009.
DOI : 10.1111/j.1467-8659.2009.01451.x

M. Grossetti, Where do social relations come from?, Social Networks, vol.27, issue.4, pp.289-300, 2005.
DOI : 10.1016/j.socnet.2004.11.004
URL : https://hal.archives-ouvertes.fr/halshs-00476390

S. Hadlak, H. Schulz, and H. Schumann, In Situ Exploration of Large Dynamic Networks, IEEE Transactions on Visualization and Computer Graphics, vol.17, issue.12, pp.2334-2343, 2011.
DOI : 10.1109/TVCG.2011.213

R. Keller, C. M. Eckert, and P. J. Clarkson, Matrices or Node-Link Diagrams: Which Visual Representation is Better for Visualising Connectivity Models?, Information Visualization, vol.30, issue.1, pp.62-76, 2006.
DOI : 10.1057/palgrave.ivs.9500116

N. W. Kim, S. K. Card, and J. Heer, Tracing genealogical data with TimeNets, Proceedings of the International Conference on Advanced Visual Interfaces, AVI '10, pp.241-248, 2010.
DOI : 10.1145/1842993.1843035

B. Lee, C. Plaisant, C. S. Parr, J. Fekete, and N. Henry, Task taxonomy for graph visualization, Proceedings of the 2006 AVI workshop on BEyond time and errors novel evaluation methods for information visualization, BELIV '06, 2006.
DOI : 10.1145/1168149.1168168
URL : https://hal.archives-ouvertes.fr/hal-00851754

S. Liu, Y. Wu, E. Wei, M. Liu, and Y. Liu, StoryFlow: Tracking the Evolution of Stories, IEEE Transactions on Visualization and Computer Graphics, vol.19, issue.12, pp.2436-2445, 2013.

A. J. Omalley, S. Arbesman, D. M. Steiger, J. H. Fowler, and N. A. Christakis, Egocentric Social Network Structure, Health, and Pro-Social Behaviors in a National Panel Study of Americans, PLoS ONE, vol.329, issue.5, 2012.
DOI : 10.1371/journal.pone.0036250.t002

M. Papagelis, F. Bonchi, and A. Gionis, Suggesting ghost edges for a smaller world, Proceedings of the 20th ACM international conference on Information and knowledge management, CIKM '11, pp.2305-2308, 2011.
DOI : 10.1145/2063576.2063952

F. Reitz, A Framework for an Ego-centered and Time-aware Visualization of Relations in Arbitrary Data Repositories. CoRR -Computing Research Repository abs/1009, 2010.

S. Rufiange and M. J. Mcguffin, DiffAni: Visualizing Dynamic Graphs with a Hybrid of Difference Maps and Animation, IEEE Transactions on Visualization and Computer Graphics, vol.19, issue.12, pp.2556-2565, 2013.
DOI : 10.1109/TVCG.2013.149

Z. Sheny and K. Maz, Path Visualization for Adjacency Matrices, Proc. Joint Eurographics / IEEE VGTC Conference on Visualization, pp.83-90, 2007.

L. Shi, C. Wang, and Z. Wen, Dynamic network visualization in 1.5 D, Proc. IEEE Pacific Visualization Symposium, pp.179-186, 2011.

Y. Tanahashi, C. Hsueh, and K. Ma, An Efficient Framework for Generating Storyline Visualizations from Streaming Data, IEEE Transactions on Visualization and Computer Graphics, vol.21, issue.6, pp.730-742, 2015.
DOI : 10.1109/TVCG.2015.2392771

S. Van-den-elzen, D. Holten, J. Blaas, and J. J. Van-wijk, Dynamic Network Visualization withExtended Massive Sequence Views, IEEE Transactions on Visualization and Computer Graphics, vol.20, issue.8, pp.1087-1099, 2014.
DOI : 10.1109/TVCG.2013.263

M. Wattenberg, Visual exploration of multivariate graphs, Proceedings of the SIGCHI conference on Human Factors in computing systems , CHI '06, pp.811-819, 2006.
DOI : 10.1145/1124772.1124891

M. Wood, Bootstrapped Confidence Intervals as an Approach to Statistical Inference, Organizational Research Methods, vol.3, issue.2, pp.454-470, 2005.
DOI : 10.1177/1094428105280059

J. Wook-ahn, C. Plaisant, and B. Shneiderman, A Task Taxonomy for Network Evolution Analysis, IEEE Transactions on Visualization and Computer Graphics, vol.20, issue.3, pp.365-376, 2014.
DOI : 10.1109/TVCG.2013.238

Y. Wu, N. Pitipornvivat, J. Zhao, S. Yang, G. Huang et al., egoSlider: Visual Analysis of Egocentric Network Evolution, IEEE Transactions on Visualization and Computer Graphics, vol.22, issue.1, pp.260-269, 2016.
DOI : 10.1109/TVCG.2015.2468151

J. Zhao, C. Collins, F. Chevalier, and R. Balakrishnan, Interactive Exploration of Implicit and Explicit Relations in Faceted Datasets, IEEE Transactions on Visualization and Computer Graphics, vol.19, issue.12, pp.2080-2089, 2013.
DOI : 10.1109/TVCG.2013.167

J. Zhao, Z. Liu, M. Dontcheva, A. Hertzmann, and A. Wilson, MatrixWave, Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, CHI '15, 2015.
DOI : 10.1145/2702123.2702419