[@mastrandrea2013enhanced]. The method, called Enhanced Configuration Model (ECM) because it is an augmented version of both the BCM and the WCM, builds upon prior theoretical results introducing the generalized Bose-Fermi distribution [@mybosefermi], which is the appropriate probability function characterizing systems with both binary and non-binary constraints. The application of the ECM allowed us to show that, for many real networks where the specification of the strengths alone give very poor results, the joint specification of strengths and degrees can reconstruct the original network to a great degree of accuracy [@mastrandrea2013enhanced].

While we already analysed one (aggregated and static) snapshot of the WTW as part of the analysis described above, this is not enough in order to conclude that those results can be straightforwardly extended to different temporal snapshots and different layers of this economic multiplex. Indeed, ref. [@mastrandrea2013enhanced] focused on a diverse set of networks of very different nature (biological, social, etc.), but included no temporal analysis and no multiplex analysis. As we have already mentioned, in the particular case of the WTW carrying out a deeper analysis has a special importance for its macroeconomic implications, because understanding the empirical role of local constraints changes the theoretical approaches to the 