Exploring complex networks.

@article{citeulike:44, 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 or the metabolic network of the bacterium Escherichia coli? Are there any unifying principles underlying their topology? From the perspective of nonlinear 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 beginning to unravel the structure and dynamics of complex networks.}, address = {Department of Theoretical and Applied Mechanics and Center for Applied Mathematics, Cornell University, Ithaca, New York 14853-1503, USA. strogatz@cornell.edu}, author = {Strogatz, S. H. }, citeulike-article-id = {44}, comment = {and how have i not read THIS already?}, doi = {10.1038/35065725}, issn = {0028-0836}, journal = {Nature}, keywords = {complexity, metabolism, network, statistics}, month = {March}, number = {6825}, pages = {268--276}, posted-at = {2008-05-03 05:07:06}, priority = {5}, title = {Exploring complex networks.}, url = {http://dx.doi.org/10.1038/35065725}, volume = {410}, year = {2001} }

TY - JOUR ID - citeulike:44 L3 - citeulike-article-id:44 TI - Exploring complex networks. JF - Nature VL - 410 IS - 6825 SP - 268 EP - 276 AD - Department of Theoretical and Applied Mechanics and Center for Applied Mathematics, Cornell University, Ithaca, New York 14853-1503, USA. strogatz@cornell.edu SN - 0028-0836 N2 - 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 or the metabolic network of the bacterium Escherichia coli? Are there any unifying principles underlying their topology? From the perspective of nonlinear 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 beginning to unravel the structure and dynamics of complex networks. KW - complexity KW - metabolism KW - network KW - statistics N1 - and how have i not read THIS already? AU - Strogatz, SH PY - 2001/03/08/ UR - http://dx.doi.org/10.1038/35065725 ER -