Newman, M. E. J.
(2003):
The structure and function of complex networks.
[Volltext] [Kurzfassung] [BibTeX] [Endnote] Inspired by empirical studies of networked systems such as the Internet,
cial networks, and biological networks, researchers have in recent years veloped a variety of techniques and models to help us understand or predict e behavior of these systems. Here we review developments in this field, cluding such concepts as the smallworld effect, degree distributions, ustering, network correlations, random graph models, models of network growth d preferential attachment, and dynamical processes taking place on networks.
@misc{citeulike:155,
author = {Newman, M. E. J.},
title = {The structure and function of complex networks},
year = {2003},
url = {http://arxiv.org/abs/condmat/0303516},
keywords = {algorithm, clustering, complex_systems, folksonomy, information, kdubiq, network, retrieval, scale_free_networks, small, socialnetwork, summerschool, theory, web, web_graph, world},
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 smallworld effect, degree distributions,
clustering, network correlations, random graph models, models of network growth
and preferential attachment, and dynamical processes taking place on networks.}
}
%0 = misc
%A = Newman, M. E. J.
%B = }
%C =
%D = 2003
%I =
%T = The structure and function of complex networks}
%U = http://arxiv.org/abs/condmat/0303516
