Predicting human preferences using the block structure of complex social
networks

Predicting human preferences using the block structure of complex social networks

PLoS ONE (PLOS ONE), 2012

3 October 2012

Esteban Moro Egido

Marta Sales-Pardo

ArXiv (abs)PDF HTML

Papers citing "Predicting human preferences using the block structure of complex social networks"

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Title
Serialized Interacting Mixed Membership Stochastic Block ModelIndustrial Conference on Data Mining (IDM), 2022 Gael Poux-Medard Julien Velcin Sabine Loudcher 116 0 0 16 Sep 2022
Powered Dirichlet Process for Controlling the Importance of "Rich-Get-Richer" Prior Assumptions in Bayesian Clustering Gael Poux-Medard Julien Velcin Sabine Loudcher 182 8 0 26 Apr 2021
Node metadata can produce predictability transitions in network inference problems Oscar Fajardo-Fontiveros Marta Sales-Pardo Roger Guimerà 151 4 0 26 Mar 2021
Hierarchical clustering of bipartite data sets based on the statistical significance of coincidencesPhysical Review E (PRE), 2020 Ignacio Tamarit M. Pereda J. A. Cuesta 134 1 0 27 Apr 2020
Interactions in information spread: quantification and interpretation using stochastic block modelsACM Conference on Recommender Systems (RecSys), 2020 Gael Poux-Medard Julien Velcin Sabine Loudcher 165 8 0 09 Apr 2020
Network-based models for social recommender systems Antonia Godoy-Lorite Roger Guimerà Marta Sales-Pardo 68 2 0 10 Feb 2020
Embedding Multimodal Relational Data for Knowledge Base Completion Pouya Pezeshkpour Liyan Chen Sameer Singh 182 145 0 05 Sep 2018
Bayesian stochastic blockmodeling Tiago P. Peixoto 618 221 0 29 May 2017
Consistencies and inconsistencies between model selection and link prediction in networks Toni Vallès-Català Tiago P. Peixoto Roger Guimerà Marta Sales-Pardo 190 51 0 22 May 2017
Accurate and scalable social recommendation using mixed-membership stochastic block models Antonia Godoy-Lorite Roger Guimerà Cristopher Moore Marta Sales-Pardo 137 47 0 05 Apr 2016