Predicting interactions between individuals with structural and dynamical information

Thibaud ARNOUX, Lionel TABOURIER & Matthieu LATAPY
Capturing both structural and temporal features of interactions is crucial in many real-world situations like studies of contact between individuals. Using the link stream formalism to model data, we address here the activity prediction problem: we predict the number of links that will occur during a given time period between each pair of nodes. To do this, we take benefit from the temporal and structural information captured by link streams. We design and implement a...
1 citation reported since publication in 2019.
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