CiaoDVD trust
This is the user–user trust network of the site http://dvd.ciao.co.uk/ from
2013.
Metadata
Statistics
Size  n =  4,658

Volume  m =  40,133

Loop count  l =  0

Wedge count  s =  2,614,007

Claw count  z =  247,680,289

Cross count  x =  13,147,053,018

Triangle count  t =  156,501

Square count  q =  9,178,144

4Tour count  T_{4} =  83,947,412

Maximum degree  d_{max} =  419

Maximum outdegree  d^{+}_{max} =  100

Maximum indegree  d^{−}_{max} =  361

Average degree  d =  17.231 9

Fill  p =  0.001 850 10

Size of LCC  N =  4,562

Size of LSCC  N_{s} =  1,032

Relative size of LSCC  N^{r}_{s} =  0.221 554

Diameter  δ =  9

50Percentile effective diameter  δ_{0.5} =  3.273 89

90Percentile effective diameter  δ_{0.9} =  4.421 73

Median distance  δ_{M} =  4

Mean distance  δ_{m} =  3.743 68

Gini coefficient  G =  0.785 007

Balanced inequality ratio  P =  0.170 458

Outdegree balanced inequality ratio  P_{+} =  0.269 429

Indegree balanced inequality ratio  P_{−} =  0.198 141

Relative edge distribution entropy  H_{er} =  0.844 275

Power law exponent  γ =  1.745 98

Tail power law exponent  γ_{t} =  1.551 00

Tail power law exponent with p  γ_{3} =  1.551 00

pvalue  p =  0.000 00

Outdegree tail power law exponent with p  γ_{3,o} =  1.711 00

Outdegree pvalue  p_{o} =  0.000 00

Indegree tail power law exponent with p  γ_{3,i} =  1.631 00

Indegree pvalue  p_{i} =  0.000 00

Degree assortativity  ρ =  +0.103 916

Degree assortativity pvalue  p_{ρ} =  2.136 28 × 10^{−158}

In/outdegree correlation  ρ^{±} =  +0.551 072

Clustering coefficient  c =  0.179 610

Directed clustering coefficient  c^{±} =  0.195 143

Spectral norm  α =  129.218

Operator 2norm  ν =  70.147 7

Cyclic eigenvalue  π =  59.518 3

Algebraic connectivity  a =  0.107 634

Reciprocity  y =  0.349 687

Nonbipartivity  b_{A} =  0.790 358

Normalized nonbipartivity  b_{N} =  0.062 702 3

Algebraic nonbipartivity  χ =  0.107 350

Spectral bipartite frustration  b_{K} =  0.001 851 79

Controllability  C =  3,247

Relative controllability  C_{r} =  0.697 080

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.
