Size Does Matter. Fast Meta-Analytic Approximations for Large Networks, Data Streams and Big Multilevel Relational Event Data
Fitting relational-event models to large data is computationally unfeasible which limits the usefulness of data and methods to learn complex social interaction behavior. This section is devoted to fast approximate methods for relational event history analysis. Different methodologies are proposed for this purpose, including meta-analytic algorithms.
Scientific output
Vieira Generoso et al. A State-Space Relational Event Modeling Approach for Learning Dynamic Social Interaction Behavior. In preparation.
