Approximate random k-colouring of a graph G=(V,E) is a very well studied
problem in computer science and statistical physics. It amounts to constructing
a k-colouring of G which is distributed close to Gibbs distribution, i.e. the
uniform distribution over all the k-colourings of G. Here, we deal with the
problem when the underlying graph is an instance of Erdos-Renyi random graph
G(n,p), where p=d/n and d is fixed.
In this paper we propose a deterministic algorithm for approximate counting
the $k$-colourings of a graph. We consider two categories of graphs. The first
one is the sparse random graphs $G_{n,d/n}$, where each edge is chosen
independently with probability $d/n$ and $d$ is fixed. The second one is a
family we call {\em locally $\alpha$-dense graphs} of bounded maximum degree
\Delta.