Epinions

This is the bipartite rating network of Epinions, an online product rating site. The nodes of the network are users and products, and each edge connects a user with a product and represents a rating. The weight of the edge is the rating value.

Metadata

CodeER
Internal nameepinions-rating
NameEpinions
Data sourcehttp://www.trustlet.org/wiki/Extended_Epinions_dataset
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Category
Rating network
Node meaningUser, product
Edge meaningRating
Network formatBipartite, undirected
Edge typeRatings, no multiple edges
Temporal data Edges are annotated with timestamps

Statistics

Size n =876,252
Left size n1 =120,492
Right size n2 =755,760
Volume m =13,668,320
Wedge count s =69,245,866,714
Claw count z =1,092,042,207,526,800
Cross count x =3.159 88 × 1019
Square count q =170,303,771,005
4-Tour count T4 =1,639,442,650,152
Maximum degree dmax =162,169
Maximum left degree d1max =162,169
Maximum right degree d2max =1,195
Average degree d =31.197 2
Average left degree d1 =113.438
Average right degree d2 =18.085 5
Fill p =0.000 150 097
Size of LCC N =875,502
Diameter δ =12
50-Percentile effective diameter δ0.5 =3.430 78
90-Percentile effective diameter δ0.9 =3.994 56
Median distance δM =4
Mean distance δm =3.808 04
Gini coefficient G =0.769 429
Balanced inequality ratio P =0.197 498
Left balanced inequality ratio P1 =0.071 153 4
Right balanced inequality ratio P2 =0.270 834
Relative edge distribution entropy Her =0.828 524
Power law exponent γ =1.465 77
Tail power law exponent γt =1.951 00
Degree assortativity ρ =−0.042 132 4
Degree assortativity p-value pρ =0.000 00
Spectral norm α =245.159
Negativity ζ =0.228 368

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 Laplacian

Spectral graph drawing based on the normalized adjacency matrix

Degree assortativity

Zipf plot

Hop distribution

Item rating evolution

Edge weight/multiplicity distribution

Temporal distribution

Diameter/density evolution

Signed temporal distribution

Inter-event distribution

Node-level inter-event 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] Paolo Massa and Paolo Avesani. Controversial users demand local trust metrics: an experimental study on epinions.com community. In Proc. American Association for Artif. Intell. Conf., pages 121–126, 2005.