Modularity and random graphs

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: McDiarmid, Colin, Skerman, Fiona
Natura: Preprint
Pubblicazione: 2025
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866916971694522368
author McDiarmid, Colin
Skerman, Fiona
author_facet McDiarmid, Colin
Skerman, Fiona
contents This work will appear as a chapter in a forthcoming volume titled `Topics in Probabilistic Graph Theory'. For a given graph $G$, each partition of the vertices has a modularity score, with higher values indicating that the partition better captures community structure in $G$. The modularity $q^*(G)$ of $G$ is the maximum over all vertex-partitions of the modularity score, and satisfies $0\leq q^*(G)< 1$. Modularity lies at the heart of the most popular algorithms for community detection. In this chapter we discuss the behaviour of the modularity of various kinds of random graphs, starting with the binomial random graph $G_{n,p}$ with $n$ vertices and edge-probability $p$.
format Preprint
id arxiv_https___arxiv_org_abs_2509_22066
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Modularity and random graphs
McDiarmid, Colin
Skerman, Fiona
Probability
Social and Information Networks
Combinatorics
05C80, 60C05
This work will appear as a chapter in a forthcoming volume titled `Topics in Probabilistic Graph Theory'. For a given graph $G$, each partition of the vertices has a modularity score, with higher values indicating that the partition better captures community structure in $G$. The modularity $q^*(G)$ of $G$ is the maximum over all vertex-partitions of the modularity score, and satisfies $0\leq q^*(G)< 1$. Modularity lies at the heart of the most popular algorithms for community detection. In this chapter we discuss the behaviour of the modularity of various kinds of random graphs, starting with the binomial random graph $G_{n,p}$ with $n$ vertices and edge-probability $p$.
title Modularity and random graphs
topic Probability
Social and Information Networks
Combinatorics
05C80, 60C05
url https://arxiv.org/abs/2509.22066