Amazon (TWEB, 0505)
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
co-purchased with product B
Metadata
Statistics
| Size | n = | 410,236
|
| Volume | m = | 3,356,824
|
| Wedge count | s = | 73,010,387
|
| Claw count | z = | 13,066,960,840
|
| Cross count | x = | 6,535,362,358,695
|
| Triangle count | t = | 3,951,063
|
| Square count | q = | 35,492,004
|
| 4-Tour count | T4 = | 580,856,454
|
| Maximum degree | dmax = | 2,770
|
| Maximum outdegree | d+max = | 10
|
| Maximum indegree | d−max = | 2,760
|
| Average degree | d = | 16.365 3
|
| Fill | p = | 1.994 63 × 10−5
|
| Size of LCC | N = | 410,236
|
| Diameter | δ = | 22
|
| 50-Percentile effective diameter | δ0.5 = | 5.873 77
|
| 90-Percentile effective diameter | δ0.9 = | 7.598 41
|
| Median distance | δM = | 6
|
| Mean distance | δm = | 6.445 36
|
| Gini coefficient | G = | 0.345 933
|
| Balanced inequality ratio | P = | 0.381 900
|
| Outdegree balanced inequality ratio | P+ = | 0.456 242
|
| Indegree balanced inequality ratio | P− = | 0.300 735
|
| Relative edge distribution entropy | Her = | 0.981 321
|
| Power law exponent | γ = | 1.456 63
|
| Tail power law exponent | γt = | 3.131 00
|
| Tail power law exponent with p | γ3 = | 3.131 00
|
| p-value | p = | 0.344 000
|
| Outdegree tail power law exponent with p | γ3,o = | 1.601 00
|
| Outdegree p-value | po = | 0.000 00
|
| Indegree tail power law exponent with p | γ3,i = | 3.041 00
|
| Indegree p-value | pi = | 0.260 000
|
| Degree assortativity | ρ = | −0.016 877 6
|
| Degree assortativity p-value | pρ = | 0.000 00
|
| In/outdegree correlation | ρ± = | +0.516 865
|
| Clustering coefficient | c = | 0.162 349
|
| Directed clustering coefficient | c± = | 0.376 872
|
| Spectral norm | α = | 60.055 2
|
| Operator 2-norm | ν = | 56.511 3
|
| Cyclic eigenvalue | π = | 10.000 0
|
| Algebraic connectivity | a = | 0.011 075 2
|
| Spectral separation | |λ1[A] / λ2[A]| = | 1.095 27
|
| Reciprocity | y = | 0.546 580
|
| Non-bipartivity | bA = | 0.086 984 5
|
| Normalized non-bipartivity | bN = | 0.030 406 0
|
| Algebraic non-bipartivity | χ = | 0.055 096 0
|
| Spectral bipartite frustration | bK = | 0.001 158 18
|
| Controllability | C = | 28,515
|
| Relative controllability | Cr = | 0.069 508 8
|
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.
|
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