Members
Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
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Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

[1]
S. Roy.
A Complete Framework for Modelling Workload Volatility of VoD System - a Perspective to Probabilistic Management, Ecole normale supérieure de lyon - ENS LYON, June 2014.
https://tel.archives-ouvertes.fr/tel-01061418

Articles in International Peer-Reviewed Journals

[2]
G. Birgand, C. Azevedo Coste, G. Toupet, R. Pissard-Gibollet, B. Grandbastien, E. Fleury, J.-C. Lucet.
Attitude and infectious risk in the operating room - The ARIBO study protocol, in: BMJ Open, January 2014, vol. 4, no 1, 8 p. [ DOI : 10.1136/bmjopen-2013-004274 ]
http://hal-lirmm.ccsd.cnrs.fr/lirmm-00916840
[3]
A. Brandwajn, T. Begin.
Fast and accurate approximate performance analysis of multi-server facilities, in: Performance Evaluation, June 2014, vol. 78, pp. 42-54. [ DOI : 10.1016/j.peva.2014.06.001 ]
https://hal.inria.fr/hal-01059350
[4]
A. Brandwajn, T. Begin.
Reduced complexity in M/Ph/c/N queues, in: Performance Evaluation, August 2014, pp. 42 – 54. [ DOI : 10.1016/j.peva.2014.06.001 ]
https://hal.archives-ouvertes.fr/hal-01107966
[5]
A. Busson, B. Jabbari, A. Babaei, V. Vèque.
Interference and throughput in spectrum sensing cognitive radio networks using point processes, in: Journal of Communications and Networks, February 2014, vol. 16, no 1, pp. 67-80.
https://hal.archives-ouvertes.fr/hal-01072231
[6]
C. Crespelle, P. Gambette.
(Nearly-)tight bounds on the contiguity and linearity of cographs, in: Theoretical Computer Science, 2014, vol. 522, pp. 1-12. [ DOI : 10.1016/j.tcs.2013.11.036 ]
https://hal-upec-upem.archives-ouvertes.fr/hal-00915069
[7]
A. T. Giang, A. Busson, M. Di Renzo.
Modeling and optimization of CSMA/CA in VANET, in: Annals of Operations Research, May 2014, 16 p. [ DOI : 10.1007/s10479-014-1610-x ]
https://hal.inria.fr/hal-01060340
[8]
M. Karsai, G. Iñiguez, K. Kaski, J. Kertész.
Complex contagion process in spreading of online innovation, in: Journal of the Royal Society Interface, October 2014, vol. 11, 20140694. [ DOI : 10.1098/rsif.2014.0694 ]
https://hal.inria.fr/hal-01100359
[9]
S. Liu, N. Perra, M. Karsai, A. Vespignani.
Controlling Contagion Processes in Time-Varying Networks, in: Physical Review Letters, 2014, vol. 112, no 118702. [ DOI : 10.1103/PhysRevLett.112.118702 ]
https://hal.inria.fr/hal-00960355
[10]
M. V. Tomasello, N. Perra, C. J. Tessone, M. Karsai, F. Schweitzer.
The role of endogenous and exogenous mechanisms in the formation of R&D networks, in: Nature Scientific Reports, July 2014, vol. 4, 5679. [ DOI : 10.1038/srep05679 ]
https://hal.inria.fr/hal-00960354

International Conferences with Proceedings

[11]
T. Abreu, B. Baynat, T. Begin, I. Guerin-Lassous, N. Nguyen.
Modeling of IEEE 802.11 Multi-hop Wireless Chains with Hidden Nodes, in: 17th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Montréal, Canada, September 2014, 4 p.
https://hal.archives-ouvertes.fr/hal-01071825
[12]
A. Busson, L. Zitoune, V. Vèque, B. Jabbari.
Outage Analysis of Integrated Mesh LTE Femtocell Networks, in: IEEE Globecom'2014, Austin, United States, December 2014, pp. 1-6, forthcoming.
https://hal-supelec.archives-ouvertes.fr/hal-00979627
[13]
B. Girault, E. Fleury, P. Gonçalves.
Traitement du Signal sur Graphe : Interprétation en termes de Filtre de l'Apprentissage Semi-Supervisé sur Graphe, in: ALGOTEL 2014 – 16èmes Rencontres Francophones sur les Aspects Algorithmiques des Télécommunications, Le Bois-Plage-en-Ré, France, June 2014, pp. 1-4.
https://hal.inria.fr/hal-00986152
[14]
B. Girault, P. Gonçalves, E. Fleury, A. Singh Mor.
Semi-Supervised Learning for Graph to Signal Mapping: a Graph Signal Wiener Filter Interpretation, in: ICASSP - IEEE International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, May 2014.
https://hal.inria.fr/hal-00942695
[15]
M. Latapy, E. Rotenberg, C. Crespelle, F. Tarissan.
Measuring the Degree Distribution of Routers in the Core Internet, in: 13th IFIP International Conference on Networking - Networking 2014, Trondheim, Norway, IEEE, 2014, pp. 1-9.
https://hal.archives-ouvertes.fr/hal-01104060
[16]
S. Liu, N. Perra, M. Karsai, A. Vespignani.
Controlling Contagion Processes in Activity Driven Networks, in: Complex Networks and Dynamics - ICCSA’14, Le Havre, France, June 2014.
https://hal.inria.fr/hal-01100409
[17]
W. Lu, M. Di Renzo, A. Busson.
Stochastic Geometry Modeling and Analysis of the Error Probability of Two–Tier Cellular Networks, in: EuCNC 2014, Bologna, Italy, June 2014.
https://hal-supelec.archives-ouvertes.fr/hal-01104513
[18]
L. Martinet, C. Crespelle, E. Fleury.
Dynamic Contact Network Analysis in Hospital Wards, in: 5th Workshop on Complex Networks - CompleNet 2014, Bologne, Italy, Studies in Computational Intelligence Series, 2014, no 549.
https://hal.archives-ouvertes.fr/hal-01104058
[19]
S. Naimi, A. Busson, V. Vèque, L. Ben Hadj Slama, R. Bouallegue.
Anticipation of ETX Metric to manage Mobility in Ad Hoc Wireless Networks, in: Ad Hoc Now, Benidorm, Spain, June 2014, pp. 29-42. [ DOI : 10.1007/978-3-319-07425-2_3 ]
https://hal.inria.fr/hal-01060325
[20]
S. Naimi, A. Busson, V. Vèque, R. Bouallegue, L. Ben Hadj Slama.
Mobility management in ad hoc networks using routing metrics, in: ComNet - International Conference on Communications and Networking, Hammamet, Tunisia, March 2014, pp. 1-6. [ DOI : 10.1109/ComNet.2014.6840923 ]
https://hal.archives-ouvertes.fr/hal-01072234
[21]
E. Rotenberg, C. Crespelle, M. Latapy.
Measuring Routing Tables in the Internet, in: 6th IEEE International Workshop on Network Science and Communication Networks - NetSciCom 2014, Toronto, Canada, IEEE, 2014, vol. INFOCOM IEEE Conference on Computer Communications Workshops, pp. 795-800.
https://hal.archives-ouvertes.fr/hal-01104059
[22]
J. Spilka, P. Abry, P. Gonçalves, M. Doret.
Impacts of labour first and second stages on Hurst parameter based intrapartum fetal Heart Rate analysis, in: IEEE International Conference on Computing in Cardiology, Cambridge (MA), US, United States, September 2014.
https://hal.inria.fr/hal-01009292
[23]
J. Spilka, S. Roux, N. Garnier, P. Abry, P. Gonçalves, M. Doret.
Nearest-Neighbor based Wavelet Entropy Rate Measures for Nearest-Neighbor based Wavelet Entropy Rate Measures for Intrapartum Fetal Heart Rate Variability, in: 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago (Illinois), US, United States, August 2014.
https://hal.inria.fr/hal-01009295
[24]
Q. Zhang, M. Karsai, A. Vespignani.
Data-driven spreading for the detection of weak ties, in: European Conference on Complex Systems, Lucca, Italy, IMT-Lucca, September 2014.
https://hal.inria.fr/hal-01100377
[25]
Q. Zhang, M. Karsai, A. Vespignani.
Transmission centrality and the detection of week ties, in: NetSci - TNetSphys, Berkeley, United States, June 2014.
https://hal.inria.fr/hal-01100404

Internal Reports

[26]
T. Atmaca, T. Begin, A. Brandwajn, H. Castel.
Reducing the complexity of the performance analysis of a multi- server facilities, Institut Telecom, Telecom SudParis, Evry, France ; Université Lyon 1 / LIP (UMR Inria, ENS Lyon CNRS, UCBL), Lyon , France ; University of California Santa Cruz, Baskin School of Engineering, USA, October 2014, no RR-8617.
https://hal.inria.fr/hal-01076366
[27]
K. Wehmuth, A. Ziviani, E. Fleury.
A Unifying Model for Representing Time-Varying Graphs, February 2014, no RR-8466, 38 p.
https://hal.inria.fr/hal-00941622

Other Publications

[28]
D. Mocanu, L. Rossi, Q. Zhang, M. Karsai, W. Quattrociocchi.
Collective attention in the age of (mis)information, March 2014, misinformation, attention patterns, false information, social response.
https://hal.inria.fr/hal-00960353
[29]
M. Tizzoni, K. Sun, D. Benusiglio, M. Karsai, N. Perra.
The Scaling of Human Contacts in Reaction-Diffusion Processes on Heterogeneous Metapopulation Networks, January 2015.
https://hal.inria.fr/hal-01100351
References in notes
[30]
R. Albert, A.-L. Barabási.
Statistical mechanics of complex networks, in: Reviews of Modern Physics, 2002, vol. 74.
[31]
A.-L. Barabási.
The origin of bursts and heavy tails in human dynamics, in: Nature, 2005, vol. 435, 207 p.
[32]
A. Brandwajn, T. Begin.
A recurrent solution of Ph/M/c/N-like and Ph/M/c-like queues, in: Journal of Applied Probability, 2012, vol. 49, no 1, pp. 84-99.
http://hal.inria.fr/hal-00746840
[33]
R. R. Coifman, S. Lafon, A. B. Lee, M. Maggioni, B. Nadler, F. Warner, S. W. Zucker.
Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps, in: PNAS, 2005, vol. 102, no 21, pp. 7426-7431.
[34]
W. J. Fitzgerald, R. L. Smith, A. T. Walden.
Nonlinear and Nonstationary Signal Processing, Cambridge University Press, Cambridge, 2001.
[35]
S. Fortunato.
Community detection in graphs, in: Physics Reports, 2010, vol. 486, pp. 75-174.
[36]
P. Holme, J. Saramäki.
Temporal networks, in: Physics Reports, 2012, vol. 519, pp. 97-125.
[37]
M. Karsai, M. Kivelä, R. K. Pan, K. Kaski, J. Kertész, A.-L. Barabási, J. Saramäki.
Small But Slow World: How Network Topology and Burstiness Slow Down Spreading, in: Phys. Rev. E, 2011, vol. 83.
[38]
M. Karsai, N. Perra, A. Vespignani.
A. Random Walks and Search in Time-Varying Networks, 2013, arXiv:1303.5966.
[39]
M. Kivelä, R. K. Pan, K. Kaski, J. Kertész, J. Saramäki, M. Karsai.
Multiscale Analysis of Spreading in a Large Communication Network, in: J. Stat. Mech., 2012.
[40]
L. Kovanen, M. Karsai, K. Kaski, J. Kertész, J. Saramäki.
Temporal motifs in time-dependent networks, in: J. Stat. Mech., 2011.
[41]
G. Krings, M. Karsai, S. Bernhardsson, V. Blondel, J. Saramäki.
Effects of time window size and placement on the structure of an aggregated communication network, in: EPJ Data Science, 2012, vol. 1, no 4.
[42]
Z. Q. Luo, M. Gastpar, J. Liu, A. Swami.
Distributed Signal Processing in Sensor Networks, in: IEEE Signal Processing Mag, 2006, vol. 23.
[43]
B. A. Miller, N. T. Bliss, P. J. Wolfe.
Towards Signal Processing Theory for Graphs and Non-Euclidian Data, in: ICASSP, Dallas, IEEE, 2010.
[44]
G. Miritello, E. Moro, R. Lara.
Dynamical strength of social ties in information spreading, in: Phys. Rev. E, 2011, vol. 83.
[45]
M. E. J. Newman.
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[46]
N. Perra, A. Baronchelli, D. Mocanu, B. Gonçalves, R. Pastor-Satorras, A. Vespignani.
Random Walks and Search in Time-Varying Networks, in: Physical review letters, 2012, vol. 109.
[47]
N. Perra, B. Gonçalves, R. Pastor-Satorras, A. Vespignani.
Activity driven modeling of time varying networks, in: Scientific Reports, 2012, vol. 2, no 469.
[48]
D. Shuman, S. Narang, P. Frossard, A. Ortega, P. Vandergheynst.
The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains, in: Signal Processing Magazine, IEEE, May 2013, vol. 30, no 3, pp. 83 - 98.
[49]
G. Tibely, L. Kovanen, M. Karsai, K. Kaski, J. Kertész, J. Saramäki.
Communities and beyond: mesoscopic analysis of a large social network with complementary methods, in: Phys. Rev. E, 2011, vol. 83.
[50]
Q. Wang, E. Fleury, T. Aynaud, J.-L. Guillaume.
Communities in evolving networks: definitions, detection and analysis techniques, in: Dynamics of Time Varying Networks, N. Ganguly, A. Mukherjee, B. Mitra, F. Peruani, M. Choudhury (editors), Springer, 2012.
http://hal.inria.fr/hal-00746195
[51]
A. S. Willsky.
Multiresolution Statistical Models for Signal and Image Processing, in: Proceedings of the IEEE, 2002, vol. 90.
[52]
K. Zhao, M. Karsai, G. Bianconi.
Entropy of Dynamical Social Networks, in: PLoS ONE, 2011, vol. 6, no 12.