Amazon (TWEB, 0302)
This is the network of items on Amazon that have been mentioned by Amazon's
"People who bought X also bought Y" function. Nodes in the network are
products, and a directed edge from A to B denotes that product A is frequently
copurchased with product B
Metadata
Statistics
Size  n =  262,111

Volume  m =  1,234,877

Wedge count  s =  9,120,350

Claw count  z =  179,870,447

Cross count  x =  7,684,700,994

Triangle count  t =  717,719

Square count  q =  2,477,087

4Tour count  T_{4} =  58,097,680

Maximum degree  d_{max} =  425

Maximum outdegree  d^{+}_{max} =  5

Maximum indegree  d^{−}_{max} =  420

Average degree  d =  9.422 55

Fill  p =  1.797 44 × 10^{−5}

Size of LCC  N =  262,111

Size of LSCC  N_{s} =  241,761

Relative size of LSCC  N^{r}_{s} =  0.922 361

Diameter  δ =  38

50Percentile effective diameter  δ_{0.5} =  8.062 96

90Percentile effective diameter  δ_{0.9} =  10.312 3

Mean distance  δ_{m} =  8.607 23

Gini coefficient  G =  0.244 370

Relative edge distribution entropy  H_{er} =  0.990 128

Power law exponent  γ =  1.558 15

Tail power law exponent  γ_{t} =  3.681 00

Degree assortativity  ρ =  −0.002 479 34

Degree assortativity pvalue  p_{ρ} =  0.000 881 004

In/outdegree correlation  ρ^{±} =  +0.246 615

Clustering coefficient  c =  0.236 083

Spectral norm  α =  24.642 3

Operator 2norm  ν =  21.218 1

Cyclic eigenvalue  π =  5.000 00

Algebraic connectivity  a =  0.002 533 67

Reciprocity  y =  0.542 702

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]

Jure Leskovec, Lada A. Adamic, and Bernardo A. Huberman.
The dynamics of viral marketing.
ACM Trans. on the Web, 1(1), 2007.
