The structure and dynamics of multilayer networks

被引:2495
作者
Boccaletti, S. [1 ,2 ]
Bianconi, G. [3 ,4 ]
Criado, R. [5 ]
del Genio, C. I. [6 ,7 ,8 ]
Gomez-Gardenes, J. [9 ]
Romance, M. [4 ,5 ]
Sendina-Nadal, I. [5 ,10 ]
Wang, Z. [11 ,12 ,13 ]
Zanin, M. [14 ,15 ]
机构
[1] CNR, Inst Complex Syst, Via Madonna del Piano 10, I-50019 Florence, Italy
[2] Italian Embassy Israel, IL-68125 Tel Aviv, Israel
[3] Queen Mary Univ London, Sch Math Sci, London, England
[4] Univ Rey Juan Carlos, Dept Matemat Aplicada, Madrid 28933, Spain
[5] Univ Politecn Madrid, Ctr Biomed Technol, Madrid 28223, Spain
[6] Univ Warwick, Warwick Math Inst, Coventry CV4 7AL, W Midlands, England
[7] Univ Warwick, Ctr Complex Sci, Coventry CV4 7AL, W Midlands, England
[8] Univ Warwick, Warwick Infect Dis Epidemiol Res WIDER Ctr, Coventry CV4 7AL, W Midlands, England
[9] Univ Zaragoza, Inst Biocomputat & Phys Complex Syst, Zaragoza, Spain
[10] Univ Rey Juan Carlos, Complex Syst Grp, Madrid 28933, Spain
[11] Hong Kong Baptist Univ, Dept Phys, Kowloon, Hong Kong, Peoples R China
[12] Hong Kong Baptist Univ, Ctr Nonlinear Studies, Beijing Hong Kong Singapore Joint Ctr Nonlinear &, Kowloon Tong, Hong Kong, Peoples R China
[13] Hong Kong Baptist Univ, Inst Computat & Theoret Studies, Kowloon Tong, Hong Kong, Peoples R China
[14] Innaxis Fdn & Res Inst, Madrid 28006, Spain
[15] Univ Nova Lisboa, Dept Elect Engn, Fac Ciencias & Tecnol, P-2829516 Caparica, Portugal
来源
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS | 2014年 / 544卷 / 01期
基金
中国国家自然科学基金;
关键词
SMALL-WORLD NETWORKS; RANDOM GRAPH MODELS; P-ASTERISK MODELS; COMPLEX NETWORKS; EVOLUTIONARY GAMES; SOCIAL NETWORKS; COMPLETE SYNCHRONIZATION; GENERALIZED SYNCHRONIZATION; STOCHASTIC BLOCKMODELS; TENSOR DECOMPOSITIONS;
D O I
10.1016/j.physrep.2014.07.001
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
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.
引用
收藏
页码:1 / 122
页数:122
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