The structure and dynamics of multilayer networks

By Stefano Boccaletti, Ginestra Bianconi, Regino Criado, C. D. Genio, Jesús Gómez-Gardeñes, Miguel Romance, Irene Sendiña-Nadal, Zhen Wang, Massimiliano Zanin. Physics reports, 2014

3,135 citations recorded by the source corpus.

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.

Subfields: Artificial Intelligence, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/90fa61aca8822ee7124bcb95f7e7e2ca9e30abc8

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Citations in the corpus

Systems Biology and Multi-Omics Integration: Viewpoints from the Metabolomics Research Community (2019, background): “Recently, multi-layer networks—which can be defined as networks formed by multiple omics layers—have been created that allow the rendering of specific interactions between different omics layers [152,153].”
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