Augmentations of Forman's Ricci Curvature and their Applications in Community Detection

Fuente: arXiv
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Main Authors: Fesser, Lukas, Iváñez, Sergio Serrano de Haro, Devriendt, Karel, Weber, Melanie, Lambiotte, Renaud
Format: Preprint
Published: 2023
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author Fesser, Lukas
Iváñez, Sergio Serrano de Haro
Devriendt, Karel
Weber, Melanie
Lambiotte, Renaud
author_facet Fesser, Lukas
Iváñez, Sergio Serrano de Haro
Devriendt, Karel
Weber, Melanie
Lambiotte, Renaud
contents The notion of curvature on graphs has recently gained traction in the networks community, with the Ollivier-Ricci curvature (ORC) in particular being used for several tasks in network analysis, such as community detection. In this work, we choose a different approach and study augmentations of the discretization of the Ricci curvature proposed by Forman (AFRC). We empirically and theoretically investigate its relation to the ORC and the un-augmented Forman-Ricci curvature. In particular, we provide evidence that the AFRC frequently gives sufficient insight into the structure of a network to be used for community detection, and therefore provides a computationally cheaper alternative to previous ORC-based methods. Our novel AFRC-based community detection algorithm is competitive with an ORC-based approach.
format Preprint
id arxiv_https___arxiv_org_abs_2306_06474
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Augmentations of Forman's Ricci Curvature and their Applications in Community Detection
Fesser, Lukas
Iváñez, Sergio Serrano de Haro
Devriendt, Karel
Weber, Melanie
Lambiotte, Renaud
Combinatorics
Discrete Mathematics
Metric Geometry
05C82, 05C10 (Primary) 53C21, 68R10, 05C75 (Secondary)
The notion of curvature on graphs has recently gained traction in the networks community, with the Ollivier-Ricci curvature (ORC) in particular being used for several tasks in network analysis, such as community detection. In this work, we choose a different approach and study augmentations of the discretization of the Ricci curvature proposed by Forman (AFRC). We empirically and theoretically investigate its relation to the ORC and the un-augmented Forman-Ricci curvature. In particular, we provide evidence that the AFRC frequently gives sufficient insight into the structure of a network to be used for community detection, and therefore provides a computationally cheaper alternative to previous ORC-based methods. Our novel AFRC-based community detection algorithm is competitive with an ORC-based approach.
title Augmentations of Forman's Ricci Curvature and their Applications in Community Detection
topic Combinatorics
Discrete Mathematics
Metric Geometry
05C82, 05C10 (Primary) 53C21, 68R10, 05C75 (Secondary)
url https://arxiv.org/abs/2306.06474