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You may also take a look at the source code.
The networks in this dataset can be loaded directly from graph-tool with:
import graph_tool.all as gt
g = gt.collection.ns["product_space/HS"]
(and likewise for the other networks available.)

product_space — Atlas of Economic Complexity export network


Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS network based on the Harmonized Commodity Description and Coding System.1

  1. Description obtained from the ICON project. 

Economic Trade Weighted Projection Metadata
Upstream URL OK
Tip: click on the table header to sort the list. Hover your mouse over it to obtain a legend.
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
HS 866 2,532 5.85 7.87 24.41 144.18 0.46 0.43 21 1.00 Undirected Unipartite pid community size pos leamer name width color 53 KiB 72 KiB 66 KiB 67 KiB
SITC 774 1,779 4.60 5.99 19.99 417.51 0.46 0.43 27 1.00 Undirected Unipartite pid community size pos leamer name color width color 50 KiB 74 KiB 61 KiB 71 KiB
HS drawing
SITC drawing