%0 %0 Generic %A Newman, M. E. J. %D 2003 %T The structure and function of complex networks %E %B %C %I %V %6 %N %P %& %Y %S %7 %8 March %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 misc %4 %# %$ %F citeulike:155 %K algorithm, clustering, complex_systems, folksonomy, information, kdubiq, network, retrieval, scale_free_networks, small, socialnetwork, summerschool, theory, web, web_graph, world %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. %Z %U http://arxiv.org/abs/cond-mat/0303516 %+ %^