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 small-world 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/cond-mat/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 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.}
}
%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/cond-mat/0303516