  We introduce an algorithm able to reconstruct the relevant network structure
on which the time evolution of country-product bipartite networks takes place.
The significant links are obtained by selecting the largest values of the
projected matrix. We first perform a number of tests of this filtering
procedure on synthetic cases and a toy model. Then we analyze the bipartite
network constituted by countries and exported products, using two databases for
a total of almost 50 years. It is then possible to build a hierarchically
directed network, in which the taxonomy of products emerges in a natural way.
We study the influence of the structure of this taxonomy network on countries'
development; in particular, guided by an example taken from the
industrialization of South Korea, we link the structure of the taxonomy network
to the empirical temporal connections between product activations, finding that
the most relevant edges for countries' development are the ones suggested by
our network. These results suggest paths in the product space which are easier
to achieve, and so can drive countries' policies in the industrialization
process.
