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 project is devoted to fast approximate methods for relational event history analysis using meta-analytic algorithms.
Vieira Generoso et al. (2022). Fast Meta-Analytic Approximations for Relational Event Models: Applications to Large Networks, Data Streams and Multilevel Data. Preprint