TY - JOUR
T1 - The structure and dynamics of multilayer networks
AU - Boccaletti, S.
AU - Bianconi, G.
AU - Criado, R.
AU - del Genio, C. I.
AU - Gómez-Gardeñes, J.
AU - Romance, M.
AU - Sendiña-Nadal, I.
AU - Wang, Z.
AU - Zanin, M.
N1 - This work was partly supported by the Spanish MINECO under projects FIS2011-25167, FIS2012-38949-C03-01, and FIS2012-38266-C02-01; 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 Ramon y Cajal program. Z.W. acknowledges the National Natural Science Foundation of China (Grant No. 11005047).
Publisher Copyright:
© 2014 Elsevier B.V. All rights reserved.
PY - 2014/11/1
Y1 - 2014/11/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84909980102&partnerID=8YFLogxK
U2 - 10.1016/j.physrep.2014.07.001
DO - 10.1016/j.physrep.2014.07.001
M3 - Review article
AN - SCOPUS:84909980102
SN - 0370-1573
VL - 544
SP - 1
EP - 122
JO - Physics Reports
JF - Physics Reports
IS - 1
ER -
