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research article

Differentiating between Hierarchical and Flat Communities

Kuroda, Daichi  
March 18, 2025
ACM SIGMETRICS Performance Evaluation Review

As data proliferate in the form of pairwise interactions or networks-from social media exchanges and physical infrastructures, like railways and the internet, to biological systems-extracting meaningful insights remains a significant challenge. Community detection is a pivotal task in this regard, viewing networks as groups of nodes. Importantly, community structures can exhibit hierarchical organization, and identifying such hierarchies, known as Hierarchical Community Detection (HCD), is essential.

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Type
research article
DOI
10.1145/3725536.3725541
Author(s)
Kuroda, Daichi  

École Polytechnique Fédérale de Lausanne

Date Issued

2025-03-18

Publisher

Association for Computing Machinery (ACM)

Published in
ACM SIGMETRICS Performance Evaluation Review
Volume

52

Issue

4

Start page

9

End page

10

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
INDY2  
Available on Infoscience
April 14, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/249229
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