Preprint
Jun 2026
Analysis of a maximum-entropy based estimator for dynamic random graph models
This framework bridges probabilistic modeling and statistical inference in time-varying networks, providing practical tools for understanding and predicting complex edge dynamics.
Diego Garlaschelli, M. Mandjes, F. Pijpers et al.
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