CiaoDVD review ratings
This is the bipartite user–review rating network of the site
http://dvd.ciao.co.uk/ from 2013. It contains users and individual reviews as
nodes, and user ratings of individual reviews as edges. The author of each
individual review is not given in the dataset.
Metadata
Statistics
Size  n =  92,652

Left size  n_{1} =  21,019

Right size  n_{2} =  71,633

Volume  m =  1,625,480

Wedge count  s =  2,730,969,169

Claw count  z =  12,257,734,171,171

Cross count  x =  76,783,643,938,686,928

Square count  q =  5,736,184,264

4Tour count  T_{4} =  56,816,743,776

Maximum degree  d_{max} =  34,884

Maximum left degree  d_{1max} =  34,884

Maximum right degree  d_{2max} =  422

Average degree  d =  35.087 9

Average left degree  d_{1} =  77.333 8

Average right degree  d_{2} =  22.691 8

Fill  p =  0.001 079 58

Size of LCC  N =  92,401

Diameter  δ =  15

50Percentile effective diameter  δ_{0.5} =  2.981 15

90Percentile effective diameter  δ_{0.9} =  4.472 46

Median distance  δ_{M} =  3

Mean distance  δ_{m} =  3.415 93

Gini coefficient  G =  0.682 356

Balanced inequality ratio  P =  0.249 078

Left balanced inequality ratio  P_{1} =  0.103 496

Right balanced inequality ratio  P_{2} =  0.323 335

Relative edge distribution entropy  H_{er} =  0.856 525

Power law exponent  γ =  1.406 86

Tail power law exponent  γ_{t} =  2.531 00

Degree assortativity  ρ =  −0.114 392

Degree assortativity pvalue  p_{ρ} =  0.000 00

Spectral norm  α =  138.092

Algebraic connectivity  a =  0.000 259 702

Spectral separation  λ_{1}[A] / λ_{2}[A] =  1.708 34

Negativity  ζ =  0.318 774

Spectral signed frustration  φ =  0.000 343 991

Controllability  C =  54,056

Relative controllability  C_{r} =  0.583 430

Plots
Matrix decompositions plots
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]

Guobing Guo, Jie Zhang, Daniel Thalmann, and Neil YorkeSmith.
ETAF: An extended trust antecedents framework for trust prediction.
In Proc. Int. Conf. Adv. in Soc. Netw. Anal. and Min., pages
540–547, 2014.
