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 Newman2003
%A Newmanr, M. E. J.
%D 2003
%J SIAM Review
%K network properties small_world
%P 167--256
%T The Structure and Function of Complex Networks
%U http://arxiv.org/abs/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{Newman2003,
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 = {2007-07-05T20:33:28.000+0200},
author = {Newmanr, M. E. J.},
biburl = {https://www.bibsonomy.org/bibtex/2488105f0008fdd5d2e374569bea9aaa6/andrew_k},
interhash = {1a2fba646dec6dd536dda136c32f9210},
intrahash = {488105f0008fdd5d2e374569bea9aaa6},
issue = {2},
journal = {SIAM Review},
keywords = {network properties small_world},
pages = {167--256},
timestamp = {2007-07-05T20:33:28.000+0200},
title = {The Structure and Function of Complex Networks},
url = {http://arxiv.org/abs/cond-mat/0303516},
volume = 45,
year = 2003
}