%0 Generic %1 citeulike:155 %A Newman, M. E. J. %D 2003 %K algorithm clustering complex_systems folksonomy information kdubiq network retrieval scale_free_networks small socialnetwork summerschool theory web web_graph world %T The structure and function of complex networks %U http://arxiv.org/abs/cond-mat/0303516 %X 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.