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 Newman, Mark E. J.
%D 2003
%I SIAM
%J SIAM Review
%K networks structure scale-free review graphs
%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{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 = {2011-01-13T13:26:14.000+0100},
author = {Newman, Mark E. J.},
biburl = {https://www.bibsonomy.org/bibtex/2ccb95f73d5eeaf262b0b53b0a6301101/rincedd},
doi = {10.1137/S003614450342480},
file = {Newman2003 - The structure and function of complex networks.pdf:Newman2003 - The structure and function of complex networks.pdf:PDF},
interhash = {7bedd01cb4c06af9f5200b0fb3faa571},
intrahash = {ccb95f73d5eeaf262b0b53b0a6301101},
journal = {SIAM Review},
keywords = {networks structure scale-free review graphs},
number = 2,
pages = {167-256},
publisher = {SIAM},
timestamp = {2011-01-13T13:26:14.000+0100},
title = {The Structure and Function of Complex Networks},
volume = 45,
year = 2003
}