The structure and function of complex networks by M. E. J. Newman (2003).
Abstract:
Inspired by empirical studies of networked systems such as the Internet, social networks, and biological networks, researchers have in recent years developed a variety of techniques and models to help us understand or predict the behavior of these systems. Here we review developments in this field, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks.
Not the earliest survey of work on complex networks nor the latest but one that gives a good overview of the area. I will be citing later survey work on graphs and complex networks. Your pointers/suggestions are most welcome.