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
- Tags
- Economic Preferences Weighted Timestamps
- Citation
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- E. Lim, et al. "Detecting product review spammers using rating behaviors." Proc. of 19th ACM Internat. Conf. on Info. and Know. Management (CIKM 2010)., https://doi.org/10.1145/1871437.1871557 [@sci-hub]
- Upstream URL OK
- http://konect.cc/networks/amazon-ratings
- Networks
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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 45.1 MiB 53.9 MiB