@misc{newman03-structure,
	title = {The structure and function of complex networks},
	author = {M. E. J. Newman},
	month = {March},
	url = {http://arxiv.org/abs/cond-mat/0303516},
	year = {2003},
	biburl = {http://www.bibsonomy.org/bibtex/2d53568209eef08fb0a8734cf34c59a71/dbenz_test},
	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.},
	lastdatemodified = {2006-10-07}, lastname = {Newman}, pdf = {newman03-structure.pdf}, own = {notown}, read = {notread},
	keywords = {clustering complex_systems diploma_thesis eventually_useful folksonomy_socialnetwork information scale_free_networks small_world web_graph }
}