paper

On the modularity of 3-regular random graphs and random graphs with given degree sequences

arXiv:2007.15574

Abstract

The modularity of a graph is a parameter that measures its community structure; the higher its value (between and ), the more clustered the graph is. In this paper we show that the modularity of a random -regular graph is at least asymptotically almost surely (a.a.s.), thereby proving a conjecture of McDiarmid and Skerman. We also improve the a.a.s. upper bound given therein to . For a uniformly chosen graph over a given bounded degree sequence with average degree and with many connected components, we distinguish two regimes with respect to the existence of a giant component. In the subcritical regime, we compute the second term of the modularity. In the supercritical regime, we prove that there is , for which the modularity is a.a.s. at least \begin{equation*} \dfrac{2\left(1 - μ\right)}{d(G_n)}+\varepsilon, \end{equation*} where is the asymptotically almost sure limit of .

47 pages