Year: 2025
Type: article
Abstract: 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.
Author: Daichi Kuroda
Institution: École Polytechnique Fédérale de Lausanne
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4408556836