@article{Newman2003,
	title = {The Structure and Function of Complex Networks},
	author = {M. E. J. Newmanr},
	journal = {SIAM Review},
	pages = {167--256},
	url = {http://arxiv.org/abs/cond-mat/0303516},
	volume = {45},
	year = {2003},
	biburl = {http://www.bibsonomy.org/bibtex/2488105f0008fdd5d2e374569bea9aaa6/andrew_k},
	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.},
	issue = {2},
	keywords = {network properties small_world }
}