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Author

Diego Garlaschelli

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Preprint Sep 2026

Multiscale Renormalization of Weighted Networks

Recent progress in network renormalization has identified various ways to transform network representations consistently across resolution levels. In particular, the renormalization flow describing how random graph models transform under node aggregation has identified a fixed point corresponding to an aggregation-inva...

Mattia Marzi, F. Pijpers, Diego Garlaschelli · 0 citations
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. · 0 citations

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