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10.1073/pnas.1612094113 http://scihub22266oqcxt.onion/10.1073/pnas.1612094113 C5081585!5081585!27698137     free     free     free Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\27698137.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Proc+Natl+Acad+Sci+U+S+A 2016 ; 113 (42): 11726-31 Nephropedia Template TP {{tp|p=27698137|t=2016. System crash as dynamics of complex networks |pdf=|usr=}}{{27698137}} gab.com Text System crash as dynamics of complex networks JO: Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=27698137 #FOAvip System crash, as an essential part of system evolution, sometimes happens in peculiar manners: Weakened systems may survive for a surprisingly long time before suddenly meeting their final ends, whereas seemingly unbeatable giants may drastically crash to virtual nonexistence. We propose a model that describes system crash as a consequence of some relatively simple local information-based individual behaviors: Individuals leave networks according to some most straightforward assessment of current and future benefits/risks. Of note, such a simple rule may enable a single push/mistake to cause multistage-style system crash. Our study helps to make sense of the process where complex systems go into unstoppable cascading declines and provides a viewpoint of predicting the fate of some social/natural systems. Twit Text FOAVip System crash as dynamics of complex networks ????Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=27698137 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27698137 #FOAvip English Wikipedia <ref>{{Cite pmid|27698137}}</ref> System crash as dynamics of complex networks #MMPMID27698137 Yu Y; Xiao G; Zhou J; Wang Y; Wang Z; Kurths J; Schellnhuber HJ Proc Natl Acad Sci U S A 2016[Oct]; 113 (42): 11726-31 PMID27698137show ga System crash, as an essential part of system evolution, sometimes happens in peculiar manners: Weakened systems may survive for a surprisingly long time before suddenly meeting their final ends, whereas seemingly unbeatable giants may drastically crash to virtual nonexistence. We propose a model that describes system crash as a consequence of some relatively simple local information-based individual behaviors: Individuals leave networks according to some most straightforward assessment of current and future benefits/risks. Of note, such a simple rule may enable a single push/mistake to cause multistage-style system crash. Our study helps to make sense of the process where complex systems go into unstoppable cascading declines and provides a viewpoint of predicting the fate of some social/natural systems. äSystem crash as dynamics of complex networks (epmc).pdf DeepDyve Pubget Overpricing