%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
%+
%^