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 Newman2003Structure
%A Newman, M. E. J.
%D 2003
%J SIAM Review
%K classic networks review
%N 2
%P 167--256
%R 10.1137/s003614450342480
%T The structure and function of complex networks
%U http://dx.doi.org/10.1137/s003614450342480
%V 45
%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{Newman2003Structure,
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 = {2018-12-02T16:09:07.000+0100},
archiveprefix = {arXiv},
author = {Newman, M. E. J.},
biburl = {https://www.bibsonomy.org/bibtex/2f0de28071b8ee1c3675e67c7538e806a/karthikraman},
citeulike-article-id = {6141503},
citeulike-linkout-0 = {http://arxiv.org/abs/cond-mat/0303516},
citeulike-linkout-1 = {http://arxiv.org/pdf/cond-mat/0303516},
citeulike-linkout-2 = {http://dx.doi.org/10.1137/s003614450342480},
day = 25,
doi = {10.1137/s003614450342480},
eprint = {cond-mat/0303516},
interhash = {7bedd01cb4c06af9f5200b0fb3faa571},
intrahash = {f0de28071b8ee1c3675e67c7538e806a},
issn = {0036-1445},
journal = {SIAM Review},
keywords = {classic networks review},
month = mar,
number = 2,
pages = {167--256},
posted-at = {2014-04-17 06:03:53},
priority = {2},
timestamp = {2018-12-02T16:09:07.000+0100},
title = {The structure and function of complex networks},
url = {http://dx.doi.org/10.1137/s003614450342480},
volume = 45,
year = 2003
}