… However, despite this surge of recent attention, the use of the multilayer framework in the …
of multilayered networks. We also briefly discuss the variant applications of the multilayer …

… Here, we review multilayer networks and their applications in neuroscience, … multilayer
networks and their use in neuroscience, and present a modified definition of a multilayer network …

… The correlations of nodes are of great importance in analyzing multilayer network structures.
Zhan et al. improved the community detection algorithms in multi-relational social networks …

… the multilayer network structure 37 and not on the specific node attributes. An extensive
description of each one of the datasets is included in Supplementary Note 1 and Supplementary …

… This study demonstrated that the multilayer network combining structural and functional
layers in patients with ESKD was different from that in healthy controls. The speci c differences in …

… the structure of networks at the community level. Finally, I discuss the implications of network
structures for … ), or multiple interaction types simultaneously (in multilayer networks) (see the …

… Here, we introduce stacked multilayer network materials as a general platform to
incorporate individual components and stretchable interconnects, without posing any essential …

… predicts the number of functional nodes at each stage of the cascading process. In this
framework, we find that the topology of the proposed multilayer network is more robust than that of …

… of multilayer structure dielectrics are mainly described. This article covers not only an overview
of the state-of-the-art advances of multilayer structure … via designing a multilayer structure. …

… We review the measures designed to characterize the structure of these systems and the
models proposed to generate synthetic structures, such as random and growing bipartite graphs…