When Does Bottom-Up Beat Top-Down in Hierarchical Community Detection?

Authors

Matthias Grossglauser
Maximilien Dreveton (ORCID: https://orcid.org/0000-0001-6613-0615)
Patrick Thiran
Daichi Kuroda

Institutions

École Polytechnique Fédérale de Lausanne (CH)

Publication Details

Journal: Journal of the American Statistical Association
Published: 2025-10-20
DOI: https://doi.org/10.1080/01621459.2025.2569711
Primary Topic: Complex Network Analysis Techniques
Type: article
Field-Weighted Citation Impact: 0.00

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article

When Does Bottom-Up Beat Top-Down in Hierarchical Community Detection?

Matthias Grossglauser, Maximilien Dreveton, Patrick Thiran, Daichi Kuroda

Oct 20, 2025

Journal of the American Statistical Association

Complex Network Analysis Techniques

article

When Does Bottom-Up Beat Top-Down in Hierarchical Community Detection?

Matthias Grossglauser, Maximilien Dreveton, Patrick Thiran, Daichi Kuroda

October 20, 2025article en

Abstract

No abstract available for this paper.

Journal of the American Statistical Association

École Polytechnique Fédérale de Lausanne (CH)

Openalex Percentile: Top 76%

Complex Network Analysis Techniques

DOI Open Access PDF OpenAlex

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When Does Bottom-Up Beat Top-Down in Hierarchical Community Detection? — Matthias Grossglauser, Maximilien Dreveton, et al. · Journal of the American Statistical Association (2025) | TGRS Research Map | TGRS