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. (C) 2014 Elsevier B.V. All rights reserved.

The structure and dynamics of multilayer networks

2014

Abstract

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. (C) 2014 Elsevier B.V. All rights reserved.
2014
Istituto dei Sistemi Complessi - ISC
Inglese
544
1
1
122
122
http://www.sciencedirect.com/science/article/pii/S0370157314002105
Sì, ma tipo non specificato
multilayer networks
The structure and dynamics of multilayer networks, editor: I. Procaccia. Available online 10 July 2014. This work was partly supported by the Spanish MINECO under projects FIS2011-25167, FIS2012-38949-C03-01, and FIS2012-38266-C02-1; by the European FET project MULTIPLEX ''Foundational research on multilevel complex networks and systems'' (Reference Number 317532); by the Comunidad de Aragon (FENOL group); the Brazilian CNPq through the PVE project of the Ciencia Sem Fronteiras. C.D.G. acknowledges support by EINS, Network of Excellence in Internet Science, via the European Commission's FP7 under Communications Networks, Content and Technologies, grant No.288021; J.G.G is supported by MINECO through the Ramony Cajal program. Z.W. acknowledges the National Natural Science Foundation of China (GrantNo.11005047).
1
info:eu-repo/semantics/article
262
S. Boccaletti a,b; G. Bianconi ; R. Criado d,e; C.I. del Genio f,g,h,; J. GómezGardeñes ; M. Romance d,e; I. SendiñaNadal j,e; Z. Wang k,l; M. Zanin m...espandi
01 Contributo su Rivista::01.01 Articolo in rivista
none
   Foundational Research on MULTIlevel comPLEX networks and systems
   MULTIPLEX
   FP7
   317532
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/227389
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