V. Dhar, Data science and prediction, Communications of the ACM, vol.56, issue.12, pp.64-73, 2013.
DOI : 10.1145/2500499

C. A. Mattmann, Computing: A vision for data science, Nature, vol.25, issue.7433, pp.473-475, 2013.
DOI : 10.1038/493473a

H. V. Jagadish, J. Gehrke, A. Labrinidis, Y. Papakonstantinou, J. M. Patel et al., Big data and its technical challenges, Communications of the ACM, vol.57, issue.7, pp.86-94, 2014.
DOI : 10.1145/2611567

A. Vespignani, Predicting the Behavior of Techno-Social Systems, Science, vol.325, issue.5939, pp.425-428, 2009.
DOI : 10.1126/science.1171990

H. Kitano, Computational systems biology, Nature, vol.14, issue.6912, pp.206-210, 2002.
DOI : 10.1038/35002125

T. G. Lewis, Network science: Theory and applications, 2009.
DOI : 10.1002/9780470400791

L. Kocarev, Network science: A new paradigm shift, IEEE Network, vol.24, issue.6, pp.6-9, 2010.
DOI : 10.1109/MNET.2010.5634436

U. Brandes, G. Robins, A. Mccraine, and S. Wasserman, What is network science?, Network Science, vol.1, issue.01, pp.1-15, 2013.
DOI : 10.1017/nws.2013.2

R. Pastor-satorras and A. Vespignani, Epidemic Spreading in Scale-Free Networks, Physical Review Letters, vol.86, issue.14, pp.3200-3203, 2001.
DOI : 10.1103/PhysRevLett.86.3200

D. Kempe, J. Kleinberg, and E. Tardos, Maximizing the spread of influence through a social network, Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '03, pp.137-146, 2003.
DOI : 10.1145/956750.956769

M. Iliofotou, M. Faloutsos, and M. Mitzenmacher, Exploiting dynamicity in graph-based traffic analysis, Proceedings of the 5th international conference on Emerging networking experiments and technologies, CoNEXT '09, pp.241-252, 2009.
DOI : 10.1145/1658939.1658967

D. Figueiredo, P. Nain, B. Ribeiro, E. De-souza-e-silva, and D. Towsley, Characterizing continuous time random walks on time varying graphs, ACM SIGMETRICS Performance Evaluation Review, vol.40, issue.1, pp.307-318, 2012.
DOI : 10.1145/2318857.2254794

P. Holme, Modern temporal network theory: a colloquium, The European Physical Journal B, vol.446, issue.9, 2015.
DOI : 10.1140/epjb/e2015-60657-4

D. Braha and Y. Bar-yam, From centrality to temporary fame: Dynamic centrality in complex networks, Complexity, vol.86, issue.2, pp.59-63, 2006.
DOI : 10.1002/cplx.20156

S. A. Hill and D. Braha, Dynamic model of time-dependent complex networks, Physical Review E, vol.82, issue.4, 2010.
DOI : 10.1103/PhysRevE.82.046105

A. Ferreira, Building a reference combinatorial model for MANETs, IEEE Network, vol.18, issue.5, pp.24-29, 2004.
DOI : 10.1109/MNET.2004.1337732

B. B. Xuan, A. Ferreira, and A. Jarry, Evolving graphs and least cost journeys in dynamic networks, Proc. of the Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt, 2003.
URL : https://hal.archives-ouvertes.fr/inria-00466676

P. Holme, Network reachability of real-world contact sequences, Physical Review E, vol.71, issue.4, pp.1-8, 2005.
DOI : 10.1103/PhysRevE.71.046119

V. Kostakos, Temporal graphs Physica A: Statistical Mechanics and its Applications, pp.1007-1023, 2009.

J. Tang, M. Musolesi, C. Mascolo, and V. Latora, Temporal distance metrics for social network analysis, Proceedings of the 2nd ACM workshop on Online social networks, WOSN '09, pp.31-36, 2009.
DOI : 10.1145/1592665.1592674

A. Casteigts, P. Flocchini, W. Quattrociocchi, and N. Santoro, Time-varying graphs and dynamic networks, International Journal of Parallel, Emergent and Distributed Systems, vol.40, issue.1, pp.387-408, 2012.
DOI : 10.1109/COMST.2006.323440

URL : https://hal.archives-ouvertes.fr/hal-00847001

H. Kim and R. Anderson, Temporal node centrality in complex networks, Physical Review E, vol.85, issue.2, 2012.
DOI : 10.1103/PhysRevE.85.026107

P. Holme and J. Saramäki, Temporal networks, Physics Reports, vol.519, issue.3, pp.97-125, 2012.
DOI : 10.1016/j.physrep.2012.03.001

J. I. Alvarez-hamelin, E. Fleury, A. Vespignani, and A. Ziviani, Complex dynamic networks: Tools and methods, Computer Networks, vol.56, issue.3, pp.967-969, 2012.
DOI : 10.1016/j.comnet.2011.12.007

C. Sengul, A. C. Viana, and A. Ziviani, A survey of adaptive services to cope with dynamics in wireless self-organizing networks, ACM Computing Surveys, vol.44, issue.4, pp.1-2335, 2012.
DOI : 10.1145/2333112.2333118

URL : https://hal.archives-ouvertes.fr/hal-00653819

A. Guimarães, A. B. Vieira, A. P. Silva, and A. Ziviani, Fast centrality-driven diffusion in dynamic networks, Proceedings of the 22nd International Conference on World Wide Web, WWW '13 Companion, pp.821-828, 2013.
DOI : 10.1145/2487788.2488055

L. Martinet, C. Crespelle, and E. Fleury, Dynamic Contact Network Analysis in Hospital Wards, Proc. of the Workshop on Complex Networks (CompleNet), pp.241-249, 2014.
DOI : 10.1007/978-3-319-05401-8_23

URL : https://hal.archives-ouvertes.fr/hal-01104058

Q. Wang, Link prediction and threads in email networks, 2014 International Conference on Data Science and Advanced Analytics (DSAA), pp.470-476, 2014.
DOI : 10.1109/DSAA.2014.7058114

URL : https://hal.archives-ouvertes.fr/hal-01208516

K. Wehmuth, E. Fleury, and A. Ziviani, On MultiAspect graphs, Theoretical Computer Science, vol.651, 2014.
DOI : 10.1016/j.tcs.2016.08.017

URL : https://hal.archives-ouvertes.fr/hal-01424657

K. Wehmuth, E. Fleury, and A. Ziviani, MultiAspect Graphs: Algebraic Representation and Algorithms, Algorithms, vol.10, issue.1, p.61, 2015.
DOI : 10.3390/a10010001

URL : https://hal.archives-ouvertes.fr/hal-01424662

K. Wehmuth, A. Ziviani, and E. Fleury, A unifying model for representing time-varying graphs, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2014.
DOI : 10.1109/DSAA.2015.7344810

URL : https://hal.archives-ouvertes.fr/hal-00941622

T. G. Kolda, Multilinear operators for higher-order decompositions, Sandia National Laboratories, 2006.
DOI : 10.2172/923081

R. Barrett, M. Berry, T. F. Chan, J. Demmel, J. M. Donato et al., Templates for the solution of linear systems: Building blocks for iterative methods, 1994.
DOI : 10.1137/1.9781611971538

J. Tang, S. Scellato, M. Musolesi, C. Mascolo, and V. Latora, Smallworld behavior in time-varying graphs, Physical Review E, vol.81, issue.5, pp.81-84, 2010.

J. Tang, M. Musolesi, C. Mascolo, V. Latora, and V. Nicosia, Analysing information flows and key mediators through temporal centrality metrics, Proceedings of the 3rd Workshop on Social Network Systems, SNS '10, pp.1-6, 2010.
DOI : 10.1145/1852658.1852661

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

E. C. Costa, A. B. Vieira, K. Wehmuth, A. Ziviani, and A. P. Silva, TIME CENTRALITY IN DYNAMIC COMPLEX NETWORKS, Advances in Complex Systems, vol.18, issue.07n08, 2015.
DOI : 10.1142/S021952591550023X