Universal lower bound for community structure of sparse graphs
Abstract
We prove new lower bounds on the modularity of graphs. Specifically, the modularity of a graph with average degree is , under some mild assumptions on the degree sequence of . The lower bound applies, for instance, to graphs with a power-law degree sequence or a near-regular degree sequence. It has been suggested that the relatively high modularity of the Erd\H{o}s-R\'enyi random graph stems from the random fluctuations in its edge distribution, however our results imply high modularity for any graph with a degree sequence matching that typically found in . The proof of the new lower bound relies on certain weight-balanced bisections with few cross-edges, which build on ideas of Alon [Combinatorics, Probability and Computing (1997)] and may be of independent interest.
Keywords
Cite
@article{arxiv.2307.07271,
title = {Universal lower bound for community structure of sparse graphs},
author = {Vilhelm Agdur and Nina Kamčev and Fiona Skerman},
journal= {arXiv preprint arXiv:2307.07271},
year = {2023}
}
Comments
25 pages, 2 figures