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10.1016/j.physrep.2014.07.001 http://scihub22266oqcxt.onion/10.1016/j.physrep.2014.07.001 C7332224!7332224!32834429     free     free     free       Phys+Rep 2014 ; 544 (1): 1-122 Nephropedia Template TP {{tp|p=32834429|t=2014. The structure and dynamics of multilayer networks |pdf=|usr=}}{{32834429}} gab.com Text The structure and dynamics of multilayer networks JO: Phys Rep http://www.kidney.de/pget.php?&tw=1&pmid=32834429 #FOAvip In the past years, network theory has successfully characterized the interaction among the constituents of a variety of complex systems, ranging from biological to technological, and social systems. However, up until recently, attention was almost exclusively given to networks in which all components were treated on equivalent footing, while neglecting all the extra information about the temporal- or context-related properties of the interactions under study. Only in the last years, taking advantage of the enhanced resolution in real data sets, network scientists have directed their interest to the multiplex character of real-world systems, and explicitly considered the time-varying and multilayer nature of networks. We offer here a comprehensive review on both structural and dynamical organization of graphs made of diverse relationships (layers) between its constituents, and cover several relevant issues, from a full redefinition of the basic structural measures, to understanding how the multilayer nature of the network affects processes and dynamics. Twit Text FOAVip The structure and dynamics of multilayer networks ????Phys Rep http://www.kidney.de/pget.php?&tw=1&pmid=32834429 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32834429 #FOAvip English Wikipedia <ref>{{Cite pmid|32834429}}</ref> The structure and dynamics of multilayer networks #MMPMID32834429 Boccaletti S; Bianconi G; Criado R; del Genio C; Gómez-Gardeñes J; Romance M; Sendiña-Nadal I; Wang Z; Zanin M Phys Rep 2014[Nov]; 544 (1): 1-122 PMID32834429show ga In the past years, network theory has successfully characterized the interaction among the constituents of a variety of complex systems, ranging from biological to technological, and social systems. However, up until recently, attention was almost exclusively given to networks in which all components were treated on equivalent footing, while neglecting all the extra information about the temporal- or context-related properties of the interactions under study. Only in the last years, taking advantage of the enhanced resolution in real data sets, network scientists have directed their interest to the multiplex character of real-world systems, and explicitly considered the time-varying and multilayer nature of networks. We offer here a comprehensive review on both structural and dynamical organization of graphs made of diverse relationships (layers) between its constituents, and cover several relevant issues, from a full redefinition of the basic structural measures, to understanding how the multilayer nature of the network affects processes and dynamics. äThe structure and dynamics of multilayer networks (epmc).pdf DeepDyve Pubget Overpricing