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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["epinions"]

epinions — Epinions product ratings (2005)


A bipartite network of users and the products they rated on the website Epinions.com. A user connects to all products on which that user entered a rating. Edge weight represents the rating score, and edges are timestamped.1

  1. Description obtained from the ICON project. 

Economic Preferences Timestamps 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
epinions 876,252 13,668,320 31.20 396.37 838.83 45.13 -0.12 0.00 12 1.00 Undirected Bipartite weight time 40.0 MiB 75.3 MiB 66.7 MiB 67.1 MiB
None drawing