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 Generic
%1 newman2003structure
%A Newman, M. E. J.
%D 2003
%I SIAM
%J SIAM Review
%K complex function networks newman p15 structure
%N 2
%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.
@misc{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 = {2015-02-16T11:01:37.000+0100},
author = {Newman, M. E. J.},
biburl = {https://www.bibsonomy.org/bibtex/25710a35daae6d1e6c7a8f235f1df25dc/muehlburger},
interhash = {7bedd01cb4c06af9f5200b0fb3faa571},
intrahash = {5710a35daae6d1e6c7a8f235f1df25dc},
journal = {SIAM Review},
keywords = {complex function networks newman p15 structure},
number = 2,
pages = {167-256},
publisher = {SIAM},
timestamp = {2015-02-16T11:02:03.000+0100},
title = {The structure and function of complex networks},
type = {Publication},
url = {http://arxiv.org/abs/cond-mat/0303516},
volume = 45,
year = 2003
}