  The international trade network is a complex system where multiple trade
blocs with varying sizes coexist and overlap with each other. However, the
resulting structures of community detection in trade networks are often
inconsistent and fails to capture the complex landscape of international trade.
To address these problems, we propose a multiresolution framework that
aggregates all the configuration information from a range of resolutions. This
allows us to consider trade communities of different sizes and illuminate the
underlying hierarchical structure of trade networks and its constituting
blocks. Furthermore, by measuring membership inconsistency (MeI) of each
country and conducting multiple regression analysis with various economic and
political indicators, we demonstrate that there exists a positive correlation
between the external instability of countries and their structural
inconsistency in terms of network topology.
