English

Universal lower bound for community structure of sparse graphs

Combinatorics 2023-07-17 v1 Data Structures and Algorithms Social and Information Networks Probability

Abstract

We prove new lower bounds on the modularity of graphs. Specifically, the modularity of a graph GG with average degree dˉ\bar d is Ω(dˉ1/2)\Omega(\bar{d}^{-1/2}), under some mild assumptions on the degree sequence of GG. The lower bound Ω(dˉ1/2)\Omega(\bar{d}^{-1/2}) 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 Gn,pG_{n,p} 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 Gn,pG_{n,p}. 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

R2 v1 2026-06-28T11:30:22.159Z