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 newman-survey-2003
%A Newman, M. E. J.
%D 2003
%J SIAM Review
%K complexnets complexnets_survey
%P 167
%T The structure and function of complex networks
%U http://www.citebase.org/abstract?id=oai:arXiv.org:cond-mat/0303516
%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{newman-survey-2003,
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 = {2008-03-23T17:10:58.000+0100},
author = {Newman, M. E. J.},
biburl = {https://www.bibsonomy.org/bibtex/272bc4532c466263fde0902faee84adff/kurtjx},
interhash = {7bedd01cb4c06af9f5200b0fb3faa571},
intrahash = {72bc4532c466263fde0902faee84adff},
journal = {SIAM Review},
keywords = {complexnets complexnets_survey},
pages = 167,
timestamp = {2008-03-23T17:10:58.000+0100},
title = {The structure and function of complex networks},
url = {http://www.citebase.org/abstract?id=oai:arXiv.org:cond-mat/0303516},
volume = 45,
year = 2003
}