Litcius/Paper detail

A limit theorem for small cliques in inhomogeneous random graphs

Jan Hladký, Christos Pelekis, Matas Šileikis

2021Journal of Graph Theory10 citationsDOIOpen Access PDF

Abstract

Abstract The theory of graphons comes with a natural sampling procedure, which results in an inhomogeneous variant of the Erdős–Rényi random graph, called ‐random graphs. We prove, via the method of moments, a limit theorem for the number of ‐cliques in such random graphs. We show that, whereas in the case of dense Erdős–Rényi random graphs the fluctuations are normal of order , the fluctuations in the setting of ‐random graphs may be of order , or . Furthermore, when the fluctuations are of order they are normal, while when the fluctuations are of order they exhibit either normal or a particular type of chi‐square behavior whose parameters relate to spectral properties of . These results can also be deduced from a general setting, based on the projection method. In addition to providing alternative proofs, our approach makes direct links to the theory of graphons.

Topics & Concepts

MathematicsRandom graphLimit (mathematics)Order (exchange)CombinatoricsProjection (relational algebra)Central limit theoremDiscrete mathematicsOrder typeType (biology)Random regular graphGraph theoryIndifference graphRandom compact setGraph theory and applicationsLimits and Structures in Graph TheoryComplex Network Analysis Techniques