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The networks in this dataset can be loaded directly from graph-tool with:(and likewise for the other networks available.)import graph_tool.all as gt g = gt.collection.ns["product_space/HS"]
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
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 |