Exploring complex networks Export

@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, Steven H.}, citeulike-article-id = {44}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/35065725}, citeulike-linkout-1 = {http://dx.doi.org/10.1038/410268a0}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/11258382}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=11258382}, day = {08}, doi = {10.1038/35065725}, issn = {0028-0836}, journal = {Nature}, keywords = {complex\_network}, month = {March}, number = {6825}, pages = {268--276}, posted-at = {2009-07-26 06:34:17}, priority = {2}, publisher = {Nature Publishing Group}, 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 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. IS - 6825 JF - Nature SN - 0028-0836 AD - Department of Theoretical and Applied Mechanics and Center for Applied Mathematics, Cornell University, Ithaca, New York 14853-1503, USA. strogatz@cornell.edu EP - 276 TI - Exploring complex networks PB - Nature Publishing Group VL - 410 SP - 268 KW - complex_network AU - Strogatz, Steven PY - 2001/03/08/ UR - http://dx.doi.org/10.1038/35065725 ER -