hold true when we consider edge weights, as $s^{nn}_i$ and $c^w_i$ involve indirect paths of length $2$ and $3$ respectively, now including mixed information about topology and weights. Intensively trading countries are found to be connected with poorly trading countries, confirming a dissasortative pattern (even if less prominent than in the binary case) at a weighted level.

Besides the observed values of the aforementioned quantities, in fig. \[AggBUN\] we also plot the corresponding expected values predicted by the ECM, as well as those predicted by the WCM. The latter represent the starting point of our analysis, because they are intended to merely replicate the results in ref. [@Squartini_etal_2011b_pre]. Indeed, we confirm that the WCM is in striking disagreement with the observed values. While, at a binary level, the empirical degree correlations and clustering structure of the ITN are excellently reproduced by the BCM (which uses only the knowledge of the degree sequence) [@Squartini_etal_2011a_pre], at a weighted level the observed network properties are very different from the predictions of the WCM (which, naively, is the obvious extension of the BCM to weighted graphs) [@Squartini_etal_2011b_pre]. These results are robust over time and for various resolutions (i.e., for different levels of aggregation of 