Netzschleuder network catalogue, repository and centrifuge

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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["amazon_ratings"]


amazon_ratings — Amazon customer ratings (2010)

Description

A bipartite network of users and products on Amazon.com. Each user connects to all products they have rated. Edge weight denotes the rating score, and edges are timestamped.1

1. Description obtained from the ICON project.

Tags
Economic Preferences Weighted Timestamps
Citation
Upstream URL OK
http://konect.cc/networks/amazon-ratings
Networks
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
amazon_ratings 3,376,972 5,838,041 3.46 19.33 83.61 610.18 -0.02 0.00 28 0.86 Undirected Bipartite weight time 26.0 MiB 47.3 MiB 45.0 MiB 53.9 MiB