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
%I JSTOR
%J SIAM review
%K networks social structure
%N 2
%P 167--256
%R 10.1137/S003614450342480
%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{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 = {2012-10-16T17:42:01.000+0200},
author = {Newman, M.E.J.},
biburl = {https://www.bibsonomy.org/bibtex/2cf461fed5e29f83bd9f3726a1713a832/kibanov},
doi = {10.1137/S003614450342480},
interhash = {7bedd01cb4c06af9f5200b0fb3faa571},
intrahash = {cf461fed5e29f83bd9f3726a1713a832},
issn = {0036-1445},
journal = {SIAM review},
keywords = {networks social structure},
number = 2,
pages = {167--256},
publisher = {JSTOR},
timestamp = {2012-10-16T17:42:01.000+0200},
title = {The Structure and Function of Complex Networks},
volume = 45,
year = 2003
}