Author

E. Kolaczyk

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Preprint Jul 2026

Hierarchical Clustering of Networks via Hierarchical Distance Matrices

The Hierarchical Distance Matrix is introduced, a specific class of population-level distance matrices that encodes latent hierarchical organization through recursively nested distance separation, accommodating unbalanced tree depths, in a fully data-driven top-down procedure: network hierarchical clustering based on t...

Li Chen, Nathaniel Josephs, E. Kolaczyk et al. · 0 citations

Preprint Aug 2026

Inference for subgraph densities in noisy dynamic networks

By specifying a stochastically evolving hidden Markov network model, this work addresses two important directions for further investigation identified by Chang et al. (2022): robustness to non-identical network replicates, and efficient aggregation of multiple available network snapshots.

Peter W. MacDonald, E. Kolaczyk · 1 citation