activity
20062026
most citedThe switch Markov chain for sampling irregular graphs

26 citations · 105 across the 26 of their papers we have counts for

collaborators

40 papers

math.CO2026

Jaeger-type orientations of random regular graphs

Catherine Greenhill, Mikhail Isaev, Charles Lewis

We consider -orientations, which are defined to be orientations of -regular graphs such that every vertex either has in-degree or out-degree . These generalise the ori…

math.CO2023

Decomposing random regular graphs into stars

Michelle Delcourt, Catherine Greenhill, Mikhail Isaev +2

We study -star decompositions, that is, partitions of the edge set into disjoint stars with edges, in the uniformly random -regular graph model . Using…

math.PR2023

Triangle processes on graphs with given degree sequence

Colin Cooper, Martin Dyer, Catherine Greenhill

The switch chain is a well-studied Markov chain which generates random graphs with a given degree sequence and has uniform stationary distribution. Motivated by the high number of…

math.CO2022

Generating graphs randomly

Catherine Greenhill

Graphs are used in many disciplines to model the relationships that exist between objects in a complex discrete system. Researchers may wish to compare a network of interest to a "…

math.CO2021

Degree sequences of sufficiently dense random uniform hypergraphs

Catherine Greenhill, Mikhail Isaev, Tamás Makai +1

We find an asymptotic enumeration formula for the number of simple -uniform hypergraphs with a given degree sequence, when the number of edges is sufficiently large. The formula…

math.CO2020

A triangle process on regular graphs

Colin Cooper, Martin Dyer, Catherine Greenhill

Switches are operations which make local changes to the edges of a graph, usually with the aim of preserving the vertex degrees. We study a restricted set of switches, called trian…