000			02828 a2200241 4500
008			220506b |||||||| |||| 00| 0 eng d
020			_a9780198753919
082			_a302.3 _bBIA
100			_aBianconi, Ginestra
245			_aMultilayer networks: structure and function
260			_bOxford University Press, _c2018. _aOxford:
300			_a402p.; _bhb; _c26cm
504			_aIncludes Reference and Index
520			_aMultilayer networks are formed by several networks that interact with each other and co-evolve. Multilayer networks include social networks, financial markets, transportation systems, infrastructures and molecular networks and the brain. The multilayer structure of these networks strongly affects the properties of dynamical and stochastic processes defined on them, which can display unexpected characteristics. For example, interdependencies between different networks of a multilayer structure can cause cascades of failure events that can dramatically increase the fragility of these systems; spreading of diseases, opinions and ideas might take advantage of multilayer network topology and spread even when its single layers cannot sustain an epidemic when taken in isolation; diffusion on multilayer transportation networks can significantly speed up with respect to diffusion on single layers; finally, the interplay between multiplexity and controllability of multilayer networks is a problem with major consequences in financial, transportation, molecular biology and brain networks. This field is one of the most prosperous recent developments of Network Science and Data Science. Multilayer networks include multiplex networks, multi-slice temporal networks, networks of networks, interdependent networks. Multilayer networks are characterized by having a highly correlated multilayer network structure, providing a significant advantage for extracting information from them using multilayer network measures and centralities and community detection methods. The multilayer network dynamics (including percolation, epidemic spreading, diffusion, synchronization, game theory and control) is strongly affected by the multilayer network topology. This book will present a comprehensive account of this emerging field. https://oxford.universitypressscholarship.com/view/10.1093/oso/9780198753919.001.0001/oso-9780198753919#:~:text=and%20co%2Devolve.-,Multilayer%20networks%20include%20social%20networks%2C%20financial%20markets%2C%20transportation%20systems%2C,which%20can%20display%20unexpected%20characteristics.
650			_aInformation networks
650			_aSocial networks
650			_aSocial sciences--Network analysis
650			_aSystem analysis
650			_aComputational complexity
650			_aComputer networks
650			_aInformation technology
942			_2ddc _cTD
999			_c56508 _d56508