  We analyze the multilayer architecture of the global input-output network
using sectoral trade data (WIOD, 2016 release). With a focus on the mesoscale
structure and related properties, our multilayer analysis takes into
consideration the splitting into industry-based layers in order to catch more
peculiar relationships between countries that cannot be detected from the
analysis of the single-layer aggregated network. We can identify several large
international communities in which some countries trade more intensively in
some specific layers. However, interestingly, our results show that these
clusters can restructure and evolve over time. In general, not only their
internal composition changes, but the centrality rankings of the members inside
are also reordered, industries from some countries diminishing their role and
others from other countries growing importance. These changes in the large
international clusters may reflect the outcomes and the dynamics of
cooperation, partner selection and competition among industries and among
countries in the global input-output network.
