no code implementations • 8 Sep 2022 • Miguel Ruíz-García, Juan Ozaita, María Pereda, Antonio Alfonso, Pablo Brañas-Garza, Jose A. Cuesta, Ángel Sánchez
We use neural networks to predict the relationships and to extract the probability that two students are friends or enemies depending on their personal attributes or the triadic influence.
1 code implementation • 27 Apr 2020 • Ignacio Tamarit, María Pereda, José A. Cuesta
The algorithm performance is $O(n^2)$ when applied to a set of n entities, and its outcome is a dendrogram exhibiting the connections of those entities.
no code implementations • 13 Oct 2015 • Stefano Gurciullo, Michael Smallegan, María Pereda, Federico Battiston, Alice Patania, Sebastian Poledna, Daniel Hedblom, Bahattin Tolga Oztan, Alexander Herzog, Peter John, Slava Mikhaylov
This study is a first, exploratory attempt to use quantitative semantics techniques and topological analysis to analyze systemic patterns arising in a complex political system.