  Diffusion dynamics in multiplex networks can model a diverse number of
real-world processes. In some specific configurations of these systems, the
super-diffusion phenomenon arises, in which the diffusion is faster in the
multiplex network than in any of its layers. Many studies attempt to
characterize this phenomenon by examining its dependency on structural
properties of the network, such as overlap, average degree, network
dissimilarity, and others. While certain properties show a correlation with
super-diffusion in specific networks, a broader characterization is still
missing. Here, we introduce a structural parameter based on the minimum node
strength that effectively predicts the occurrence of super-diffusion in
multiplex networks. Additionally, we propose a novel framework for deriving
analytical bounds for several multiplex networks structures. Finally, we
analyze and justify why certain arrangements of the inter-layer connections
induce super-diffusion. These findings provide novel insights into the
super-diffusion phenomenon and the interplay between network structure and
dynamics.
