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10.1098/rsos.160691 http://scihub22266oqcxt.onion/10.1098/rsos.160691 C5383813!5383813!28405356     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       R+Soc+Open+Sci 2017 ; 4 (3): ä Nephropedia Template TP {{tp|p=28405356|t=2017. Nonlinear growth: an origin of hub organization in complex networks |pdf=|usr=}}{{28405356}} gab.com Text Nonlinear growth: an origin of hub organization in complex networks JO: R Soc Open Sci http://www.kidney.de/pget.php?&tw=1&pmid=28405356 #FOAvip Many real-world networks contain highly connected nodes called hubs. Hubs are often crucial for network function and spreading dynamics. However, classical models of how hubs originate during network development unrealistically assume that new nodes attain information about the connectivity (for example the degree) of existing nodes. Here, we introduce hub formation through nonlinear growth where the number of nodes generated at each stage increases over time and new nodes form connections independent of target node features. Our model reproduces variation in number of connections, hub occurrence time, and rich-club organization of networks ranging from protein?protein, neuronal and fibre tract brain networks to airline networks. Moreover, nonlinear growth gives a more generic representation of these networks compared with previous preferential attachment or duplication?divergence models. Overall, hub creation through nonlinear network expansion can serve as a benchmark model for studying the development of many real-world networks. Twit Text FOAVip Nonlinear growth: an origin of hub organization in complex networks ????R Soc Open Sci http://www.kidney.de/pget.php?&tw=1&pmid=28405356 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28405356 #FOAvip English Wikipedia <ref>{{Cite pmid|28405356}}</ref> Nonlinear growth: an origin of hub organization in complex networks #MMPMID28405356 Bauer R; Kaiser M R Soc Open Sci 2017[Mar]; 4 (3): ä PMID28405356show ga Many real-world networks contain highly connected nodes called hubs. Hubs are often crucial for network function and spreading dynamics. However, classical models of how hubs originate during network development unrealistically assume that new nodes attain information about the connectivity (for example the degree) of existing nodes. Here, we introduce hub formation through nonlinear growth where the number of nodes generated at each stage increases over time and new nodes form connections independent of target node features. Our model reproduces variation in number of connections, hub occurrence time, and rich-club organization of networks ranging from protein?protein, neuronal and fibre tract brain networks to airline networks. Moreover, nonlinear growth gives a more generic representation of these networks compared with previous preferential attachment or duplication?divergence models. Overall, hub creation through nonlinear network expansion can serve as a benchmark model for studying the development of many real-world networks. äNonlinear growth: an origin of hub organization in complex networks (epmc).pdf DeepDyve Pubget Overpricing