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010   $a3-319-92255-6
024 7 $a10.1007/978-3-319-92255-3
035   $a(CKB)4100000004974922
035   $a(MiAaPQ)EBC5438641
035   $a(DE-He213)978-3-319-92255-3
035   $a(PPN)229495893
035   $a(EXLCZ)994100000004974922
100   $a20180627d2018      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMultiplex Networks $eBasic Formalism and Structural Properties /$fby Emanuele Cozzo, Guilherme Ferraz de Arruda, Francisco Aparecido Rodrigues, Yamir Moreno
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (124 pages) $cillustrations
225 1 $aUnderstanding Complex Systems,$x2191-5326
311   $a3-319-92254-8 
327   $aChapter1. Introduction -- Chapter2. Multiplex Networks: Basic Definitions and Formalism -- Chapter3. Structural Metrics -- Chapter4. Spectra -- Chapter5. Structural organization and transitions -- Chapter6. Polynomial eigenvalue formulation -- Chapter7. Tensorial representation.
330   $aThis book provides the basis of a formal language and explores its possibilities in the characterization of multiplex networks. Armed with the formalism developed, the authors define structural metrics for multiplex networks. A methodology to generalize monoplex structural metrics to multiplex networks is also presented so that the reader will be able to generalize other metrics of interest in a systematic way. Therefore, this book will serve as a guide for the theoretical development of new multiplex metrics. Furthermore, this Brief describes the spectral properties of these networks in relation to concepts from algebraic graph theory and the theory of matrix polynomials. The text is rounded off by analyzing the different structural transitions present in multiplex systems as well as by a brief overview of some representative dynamical processes. Multiplex Networks will appeal to students, researchers, and professionals within the fields of network science, graph theory, and data science. .
410  0$aUnderstanding Complex Systems,$x2191-5326
606   $aPhysics
606   $aGraph theory
606   $aBig data
606   $aApplications of Graph Theory and Complex Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/P33010
606   $aGraph Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/M29020
606   $aBig Data/Analytics$3https://scigraph.springernature.com/ontologies/product-market-codes/522070
615  0$aPhysics.
615  0$aGraph theory.
615  0$aBig data.
615 14$aApplications of Graph Theory and Complex Networks.
615 24$aGraph Theory.
615 24$aBig Data/Analytics.
676   $a003
700   $aCozzo$b Emanuele$4aut$4http://id.loc.gov/vocabulary/relators/aut$01063050
702   $ade Arruda$b Guilherme Ferraz$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aRodrigues$b Francisco Aparecido$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aMoreno$b Yamir$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910300531903321
996   $aMultiplex Networks$92529855
997   $aUNINA