Joint Vertex Degrees in an Inhomogeneous Random Graph Model

Joint Vertex Degrees in an Inhomogeneous Random Graph Model

In a random graph, counts for the number of vertices with given degrees will typically be dependent. We show via a multivariate normal and a Poisson process approximation that, for graphs which have independent edges, with a possibly inhomogeneous distribution, only when the degrees are large can we...

Полное описание

Библиографические подробности
Главные авторы:	Lin, K, Reinert, G
Формат:	Journal article
Язык:	English
Опубликовано:	2009

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