Lionel Tabourier
Lionel Tabourier
Associate professor in Computer Science, Sorbonne Université
Verified email at - Homepage
Cited by
Cited by
Firm-network characteristics and economic robustness to natural disasters
F Henriet, S Hallegatte, L Tabourier
Journal of Economic Dynamics and Control 36 (1), 150-167, 2012
Burstiness and spreading on temporal networks
R Lambiotte, L Tabourier, JC Delvenne
The European Physical Journal B 86 (7), 320, 2013
Generating constrained random graphs using multiple edge switches
L Tabourier, C Roth, JP Cointet
Journal of Experimental Algorithmics (JEA) 16, 1.1-1.15, 2011
Directedness of information flow in mobile phone communication networks
F Peruani, L Tabourier
PloS one 6 (12), e28860, 2011
Intrinsically dynamic network communities
B Mitra, L Tabourier, C Roth
Computer Networks 56 (3), 1041-1053, 2012
Predicting links in ego-networks using temporal information
L Tabourier, AS Libert, R Lambiotte
EPJ Data Science 5 (1), 1-16, 2016
Characterizing and predicting mobile application usage
KW Lim, S Secci, L Tabourier, B Tebbani
Computer Communications 95, 82-94, 2016
Citations among blogs in a hierarchy of communities: Method and case study
AS Brahim, B Le Grand, L Tabourier, M Latapy
Journal of Computational Science 2 (3), 247-252, 2011
RankMerging: Learning to rank in large-scale social networks
L Tabourier, AS Libert, R Lambiotte
How to detect causality effects on large dynamical communication networks: a case study
L Tabourier, A Stoica, F Peruani
2012 Fourth International Conference on Communication Systems and Networks …, 2012
Internal links and pairs as a new tool for the analysis of bipartite complex networks
O Allali, L Tabourier, C Magnien, M Latapy
Social Network Analysis and Mining 3 (1), 85-91, 2013
Combining structural and dynamic information to predict activity in link streams
T Arnoux, L Tabourier, M Latapy
Proceedings of the 2017 IEEE/ACM International Conference on Advances in …, 2017
Rankmerging: A supervised learning-to-rank framework to predict links in large social network
L Tabourier, DF Bernardes, AS Libert, R Lambiotte
arXiv preprint arXiv:1407.2515, 2014
Predicting interactions between individuals with structural and dynamical information
T Arnoux, L Tabourier, M Latapy
arXiv preprint arXiv:1804.01465, 2018
Information-theoretic compression of weighted graphs
R Lamarche-Perrin, L Tabourier, F Tarissan
Poster session of the MSR-INRIA Join Center Workshop on Networks: Learning …, 2016
Théorie des graphes
R Lambiotte, L Tabourier
Universite de Namur, 2014
Spreading dynamics in a cattle trade network: Size, speed, typical profile and consequences on epidemic control strategies
A Payen, L Tabourier, M Latapy
Plos one 14 (6), e0217972, 2019
Ego-betweenness centrality in link streams
M Ghanem, F Coriat, L Tabourier
2017 IEEE/ACM International Conference on Advances in Social Networks …, 2017
Méthode de comparaison des topologies de graphes complexes: applications aux réseaux sociaux
L Tabourier
Paris 6, 2010
A Process Mining Approach for Supporting IoT Predictive Security
A Hemmer, R Badonnel, I Chrisment
NOMS 2020-2020 IEEE/IFIP Network Operations and Management Symposium, 1-9, 2020
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