How to generate a random growing network
  We propose a construction procedure which generates a wide class of random evolving networks with fat-tailed degree distributions and an arbitrary clustering. This procedure applies the stochastic transformations of edges, which can be used as the basis of a real space renormalization group for evolving networks. 
S.N. Dorogovtsev, J.F.F. Mendes, A.N. Samukhin