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You may also take a look at the source code.
The network in this dataset can be loaded directly from graph-tool with:
import graph_tool.all as gt
g = gt.collection.ns["microsoft_concept"]

microsoft_concept — Microsoft Concept Graph


A bipartite network of relations among "instances" and "concepts," like named entities, actions, objects, etc., mined from the World Wide Web and assembled using statistical techniques into a database called Probase. Edge weights represent the frequency of association between a concept and an instance. Access to data must be requested; this version is the "core IsA" graph.1

  1. Description obtained from the ICON project. 

Informational Relatedness Weighted
Upstream URL OK
Tip: hover your mouse over a table header 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
microsoft_concept 16,936,670 33,377,320 3.94 196.69 744.91 17939.31 -0.06 0.00 22 0.89 Undirected Unipartite name count 230.3 MiB 357.2 MiB 346.8 MiB 341.5 MiB