  Real world complex networks often exhibit multiplex structure, connecting
entities from different aspects of physical systems such as social,
transportation and biological networks. Little is known about general
properties of such networks across disciplines. In this work, we first
investigate how consistent are connectivity patterns across 35 real world
multiplex networks. We demonstrate that entanglement homogeneity and intensity,
two measures of layer consistency, indicate apparent differences between social
and biological networks. We also investigate trade, co-authorship and transport
networks. We show that real networks can be separated in the joint space of
homogeneity and intensity, demonstrating the usefulness of the two measures for
categorization of real multiplex networks. Finally, we design a multiplex
network generator, where similar patterns (as observed in real networks), are
emerging over the analysis of 11{,}905 synthetic multiplex networks with
various topological properties.
