Models of random graphs, for real computer networks
This survey, The structure and function of complex networks by Newman, reviews techniques and models for real complex networks including concepts such as small-world effect, degree distributions, and random graph models. Also, the same author has a nice paper, Random graphs as models of networks, about adaptations of random graphs to model real networks.

References:

1) Random graphs as models of networks, M. E. J. Newman, in Handbook of Graphs and Networks, S. Bornholdt and H. G. Schuster (eds.), Wiley-VCH, Berlin (2003)

2) The structure and function of complex networks, M. E. J. Newman, SIAM Review 45, 167-256 (2003)