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:2003p1261
%A Newman, M.E.J
%D 2003
%J SIAM Rev
%K imported
%P 167--256
%T The structure and function of complex networks
%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:2003p1261,
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 = {2009-02-08T16:38:56.000+0100},
author = {Newman, M.E.J},
biburl = {https://www.bibsonomy.org/bibtex/29d5649597406d2201ebd25766acb58fa/svsegbro},
date-modified = {2008-08-08 15:17:37 +0200},
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intrahash = {9d5649597406d2201ebd25766acb58fa},
journal = {SIAM Rev},
keywords = {imported},
local-url = {file://localhost/Users/sven/Documents/Papers/2003/Newman/SIAM%20Rev%202003%20Newman.pdf},
pages = {167--256},
rating = {0},
read = {Yes},
timestamp = {2009-02-08T16:39:00.000+0100},
title = {The structure and function of complex networks},
uri = {papers://B7B184F3-8CE5-4C43-B61C-B7952DE67982/Paper/p1261},
volume = 45,
year = 2003
}