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 Journal Article
%1 citeulike:155
%A Newman, M. E. J.
%D 2003
%K graph
%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.
@article{citeulike:155,
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.},
added-at = {2009-08-06T15:16:38.000+0200},
archiveprefix = {arXiv},
author = {Newman, M. E. J.},
biburl = {https://www.bibsonomy.org/bibtex/2c0e87d7ea428317ef3e7c04bb09ca456/chato},
citeulike-article-id = {155},
citeulike-linkout-0 = {http://arxiv.org/abs/cond-mat/0303516},
citeulike-linkout-1 = {http://arxiv.org/pdf/cond-mat/0303516},
citeulike-linkout-2 = {http://adsabs.harvard.edu/cgi-bin/nph-bib\_query?bibcode=2003cond.mat..3516N},
eprint = {cond-mat/0303516},
interhash = {7bedd01cb4c06af9f5200b0fb3faa571},
intrahash = {c0e87d7ea428317ef3e7c04bb09ca456},
keywords = {graph},
month = Mar,
posted-at = {2005-10-21 13:36:19},
priority = {0},
timestamp = {2009-08-06T15:16:54.000+0200},
title = {The structure and function of complex networks},
url = {http://arxiv.org/abs/cond-mat/0303516},
year = 2003
}