| Socioeconomic correlations and stratification in social-communication networks Y Leo, E Fleury, JI Alvarez-Hamelin, C Sarraute, M Karsai Journal of The Royal Society Interface 13 (125), 20160598, 2016 | 30 | 2016 |
| Call detail records to characterize usages and mobility events of phone users Y Leo, A Busson, C Sarraute, E Fleury Computer communications 95, 43-53, 2016 | 21 | 2016 |
| Correlations of consumption patterns in social-economic networks Y Leo, M Karsai, C Sarraute, E Fleury 2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016 | 18 | 2016 |
| Non-altering time scales for aggregation of dynamic networks into series of graphs Y Léo, C Crespelle, E Fleury Proceedings of the 11th ACM Conference on Emerging Networking Experiments …, 2015 | 18* | 2015 |
| Correlations and dynamics of consumption patterns in social-economic networks Y Leo, M Karsai, C Sarraute, E Fleury Social Network Analysis and Mining 8 (1), 9, 2018 | 5 | 2018 |
| Socioeconomic correlations in communication networks Y Leo, E Fleury, C Sarraute, JI Alvarez-Hamelin, M Karsai | 5 | 2015 |
| Link prediction in the Twitter mention network: impacts of local structure and similarity of interest H Hours, E Fleury, M Karsai 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016 | 4 | 2016 |
| Taking benefit from the user density in large cities for delivering sms Y Leo, C Sarraute, A Busson, E Fleury Proceedings of the 12th ACM Symposium on Performance Evaluation of Wireless …, 2015 | 3 | 2015 |
| Higher-order correlations of consumption patterns in social-economic networks Y Leo, M Karsai, C Sarraute, E Fleury NetMob, 2017 | 1 | 2017 |
| Performance evaluation of DTN protocols to deliver sms in dense mobile network: Empirical proofs Y Leo, A Busson, C Sarraute, E Fleury Ad Hoc Networks 52, 173-182, 2016 | 1 | 2016 |
| Traces mobiles afin de caractériser les usages et la mobilité des utilisateurs Y Léo, A Busson, C Sarraute, É Fleury | 1 | 2016 |
| X-SHAP: towards multiplicative explainability of Machine Learning L Bouneder, Y Léo, A Lachapelle arXiv preprint arXiv:2006.04574, 2020 | | 2020 |
| The optional realization of the French negative particle (ne) on Twitter: Space, status and time JL Abitbol, JP Chevrot, M Karsai, JP Magué, Y Léo, A Nardy, E Fleury | | 2017 |
| The study of optional realization of the French negative particle (ne) on Twitter: Is Sociolinguistics compatible with the Big Data? JL Abitbol, JP Chevrot, M Karsai, JP Magué, Y Léo, A Nardy, É Fleury | | 2017 |
| Optional realization of the French negative particule (ne) on Twitter: Can big data reveal new sociolinguistic patterns? P Mangold, Y Léo, JP Chevrot, E Fleury, M Karsai, JP Magué, A Nardy, ... | | 2017 |
| Deep dive into social network and economic data: a data driven approach for uncovering temporal ties, human mobility, and socioeconomic correlations Y Leo | | 2016 |
| Impact of University Admission on Freshmen'Egocentric Network S Jouaber, Y Léo, C Sarraute, E Fleury, M Karsai | | 2016 |
| Utiliser la densité des utilisateurs mobiles dans les grandes villes afin de délivrer des SMS Y Léo, A Busson, C Sarraute, E Fleury | | 2016 |
| Mobile Phone Network Datasets Analysis E Fleury, JI Alvarez-Hamelin, A Busson, M Karsai, Y Leo, C Sarraute | | 2015 |
| Taking Benefit from the User Density in Large Cities for Delivering SMS Experimentations in Mexico City Y Léo, C Sarraute, A Busson, E Fleury | | 2015 |
eric fleuryENS de lyon / InriaEmail verificata su ens-lyon.fr
