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Antonia Godoy-Lorite
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Accurate and scalable social recommendation using mixed-membership stochastic block models
A Godoy-Lorite, R Guimerà, C Moore, M Sales-Pardo
Proceedings of the National Academy of Sciences 113 (50), 14207–14212, 2016
622016
Tensorial and bipartite block models for link prediction in layered networks and temporal networks
M Tarrés-Deulofeu*, A Godoy-Lorite*, R Guimerà, M Sales-Pardo
Physical Review E 99 (3), 032307, 2019
362019
Long-term evolution of email networks: statistical regularities, predictability and stability of social behaviors
A Godoy-Lorite, R Guimerà, M Sales-Pardo
PloS one 11 (1), e0146113, 2016
222016
Inference and influence of network structure using snapshot social behavior without network data
A Godoy-Lorite, NS Jones
Science Advances 7 (23), eabb8762, 2021
152021
Optimal prediction of decisions and model selection in social dilemmas using block models
S Cobo-López, A Godoy-Lorite, J Duch, M Sales-Pardo, R Guimerà
EPJ Data Science 7 (1), 48, 2018
132018
Assessing unintended human‐mediated dispersal using visitation networks
R Runghen, B Bramon Mora, A Godoy‐Lorite, DB Stouffer
Journal of Applied Ecology 58 (4), 777-788, 2021
122021
Network-based models for social recommender systems
A Godoy-Lorite, R Guimerà, M Sales-Pardo
Business and Consumer Analytics: New Ideas, 491-512, 2019
32019
Inference and Influence of Large-Scale Social Networks Using Snapshot Population Behaviour without Network Data
A Godoy-Lorite, NS Jones
arXiv preprint arXiv:2003.07146, 2020
22020
Long-term evolution of techno-social networks: statistical regularities, predictability and stability of social behaviors
A Godoy-Lorite, R Guimera, M Sales-Pardo
arXiv preprint arXiv:1506.01516, 18, 2015
22015
Using Foursquare data to reveal spatial and temporal patterns in London
MB Maarten Vanhoof, Antonia Godoy-Lorite, Roberto Murcio, Iacopo Iacopini ...
NetMob 2019, Jul2019, Oxford, United Kingdom. https://halshs.archives …, 2019
2019
Time Evolution and Predictability of Social Behavior in Techno-Social Networks
A Godoy Lorite
Universitat Rovira i Virgili, 2016
2016
Data Sources
R Runghen, B Bramon Mora, A Godoy-Lorite, DB Stouffer
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Artículos 1–12