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

Description obtained from the ICON project. ↩

Tags

Economic Preferences Weighted Timestamps

Added

2020-08-11

Citation

E. Lim, et al. "Detecting product review spammers using rating behaviors." Proc. of 19th ACM Internat. Conf. on Info. and Know. Management (CIKM 2010). 10.1145/1871437.1871557 Sci-Hub

Upstream URL OK

http://konect.cc/networks/amazon-ratings

Networks

Tip: hover over a column header for a description.

Column legend

$\left<k\right>$: Mean degree
$\sigma_k$: Standard deviation of the degrees
$\lambda_h$: Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$: Random walk mixing time
$r$: Degree assortativity
$c$: Global clustering coefficient
$\oslash$: (Pseudo-) diameter
$S$: Relative size of the largest component
NPs: Node properties
EPs: Edge properties

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	74.1 MiB	113.5 MiB	110.4 MiB	107.9 MiB

Ridiculograms^*

^* These are automatically generated force-directed visualizations, and can be quite meaningless for networks both big and small. They should not be taken seriously as sources of scientific insight. See here for a discussion.