Amazon

These are ratings from Amazon.

Metadata

CodeAM
Internal nameamazon
NameAmazon
Data sourcehttp://jmcauley.ucsd.edu/data/amazon/
AvailabilityDataset is not available for download
Consistency checkDataset passed all tests
Category
Rating network
Dataset timestamp 1996-05 ⋯ 2014-07
Node meaningUser, product
Network formatBipartite, undirected
Edge typeRatings, no multiple edges
Temporal data Edges are annotated with timestamps

Statistics

Size n =31,050,733
Left size n1 =21,176,522
Right size n2 =9,874,211
Volume m =82,677,131
Wedge count s =25,196,597,662
Claw count z =67,889,727,718,556
Cross count x =356,886,775,500,116,544
Maximum degree dmax =44,557
Maximum left degree d1max =44,557
Maximum right degree d2max =25,368
Average degree d =5.325 29
Average left degree d1 =3.904 19
Average right degree d2 =8.373 04
Fill p =3.953 92 × 10−7
Size of LCC N =30,767,837
Diameter δ =24
50-Percentile effective diameter δ0.5 =5.615 55
90-Percentile effective diameter δ0.9 =6.962 84
Median distance δM =6
Mean distance δm =6.132 91
Gini coefficient G =0.704 302
Balanced inequality ratio P =0.223 299
Left balanced inequality ratio P1 =0.260 054
Right balanced inequality ratio P2 =0.182 262
Relative edge distribution entropy Her =0.913 027
Power law exponent γ =2.309 95
Tail power law exponent γt =2.351 00
Degree assortativity ρ =−0.016 024 2
Degree assortativity p-value pρ =0.000 00
Spectral norm α =176.257
Spectral separation 1[A] / λ2[A]| =1.124 04
Negativity ζ =0.350 228

Plots

Degree distribution

Cumulative degree distribution

Lorenz curve

Spectral distribution of the adjacency matrix

Spectral distribution of the normalized adjacency matrix

Spectral distribution of the Laplacian

Spectral graph drawing based on the adjacency matrix

Spectral graph drawing based on the normalized adjacency matrix

Degree assortativity

Zipf plot

Hop distribution

Edge weight/multiplicity distribution

Temporal distribution

Signed temporal distribution

Downloads

References

[1] Jérôme Kunegis. KONECT – The Koblenz Network Collection. In Proc. Int. Conf. on World Wide Web Companion, pages 1343–1350, 2013. [ http ]
[2] Julian McAuley and Alex Yang. Addressing complex and subjective product-related queries with customer reviews. In Proc. Int. World Wide Web Conf., pages 625–635, 2016.