The study of networks pervades all of science, from neurobiology to statistical physics. The most basic issues are structural: how does one characterize the wiring diagram of a food web or the Internet of the metabolic network of the bacterium \emphEschericia coli? Are there any unifying principles underlying their topology? From the perspective of non-linear dynamics, we would also like to understand how an enormous network of interacting dynamical systems --- be they neurons, power stations or lasers --- will behave collectively, given their individual dynamics and coupling architecture. Researchers are only now begining to unravl the structure and dynamics of complex networks.
%0 Journal Article
%1 Str-01
%A Strogatz, Steven
%D 2001
%J Nature
%K Complex Generalized Graph Network Oscillation Phase Random Review Scale-free Small Transition World and
%P 268--276
%T Exploring Complex Networks
%U http://tam.cornell.edu/SS_exploring_complex_networks.pdf
%V 410
%X The study of networks pervades all of science, from neurobiology to statistical physics. The most basic issues are structural: how does one characterize the wiring diagram of a food web or the Internet of the metabolic network of the bacterium \emphEschericia coli? Are there any unifying principles underlying their topology? From the perspective of non-linear dynamics, we would also like to understand how an enormous network of interacting dynamical systems --- be they neurons, power stations or lasers --- will behave collectively, given their individual dynamics and coupling architecture. Researchers are only now begining to unravl the structure and dynamics of complex networks.
@article{Str-01,
abstract = {The study of networks pervades all of science, from neurobiology to statistical physics. The most basic issues are structural: how does one characterize the wiring diagram of a food web or the Internet of the metabolic network of the bacterium \emphEschericia coli? Are there any unifying principles underlying their topology? From the perspective of non-linear dynamics, we would also like to understand how an enormous network of interacting dynamical systems --- be they neurons, power stations or lasers --- will behave collectively, given their individual dynamics and coupling architecture. Researchers are only now begining to unravl the structure and dynamics of complex networks.},
added-at = {2008-03-13T16:33:57.000+0100},
author = {Strogatz, Steven},
biburl = {https://www.bibsonomy.org/bibtex/2063d9eaf89f4a785407e89a7d8681b91/bertil.hatt},
date-added = {2007-06-11 17:22:07 +0200},
date-modified = {2007-06-11 17:22:06 +0200},
description = {March 2008},
interhash = {ae38f7427d9780f234849eccf8c81a6f},
intrahash = {063d9eaf89f4a785407e89a7d8681b91},
journal = {Nature},
keywords = {Complex Generalized Graph Network Oscillation Phase Random Review Scale-free Small Transition World and},
pages = {268--276},
rating = {0},
timestamp = {2008-03-13T16:35:29.000+0100},
title = {Exploring Complex Networks},
uri = {papers://C3B117CD-23C4-4854-9426-AC96AFB113DA/Paper/p111},
url = {http://tam.cornell.edu/SS_exploring_complex_networks.pdf},
volume = 410,
year = 2001
}