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Metadata
Statistics
Size | n = | 3,603,726
|
Volume | m = | 96,865,851
|
Loop count | l = | 33,552
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Wedge count | s = | 449,935,697,952
|
Claw count | z = | 35,299,901,445,433,764
|
Cross count | x = | 3.220 33 × 1021
|
Triangle count | t = | 1,196,536,118
|
Maximum degree | dmax = | 434,249
|
Maximum outdegree | d+max = | 6,642
|
Maximum indegree | d−max = | 434,205
|
Average degree | d = | 53.758 7
|
Fill | p = | 7.845 52 × 10−6
|
Size of LCC | N = | 3,601,538
|
Size of LSCC | Ns = | 2,211,883
|
Relative size of LSCC | Nrs = | 0.685 735
|
Diameter | δ = | 14
|
50-Percentile effective diameter | δ0.5 = | 3.321 20
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90-Percentile effective diameter | δ0.9 = | 4.448 62
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Median distance | δM = | 4
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Mean distance | δm = | 3.804 13
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Gini coefficient | G = | 0.742 213
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Balanced inequality ratio | P = | 0.201 695
|
Outdegree balanced inequality ratio | P+ = | 0.227 508
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Indegree balanced inequality ratio | P− = | 0.185 012
|
Relative edge distribution entropy | Her = | 0.899 738
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Power law exponent | γ = | 1.441 01
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Tail power law exponent | γt = | 2.381 00
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Tail power law exponent with p | γ3 = | 2.331 00
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p-value | p = | 0.000 00
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Outdegree tail power law exponent with p | γ3,o = | 2.331 00
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Outdegree p-value | po = | 0.000 00
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Indegree tail power law exponent with p | γ3,i = | 2.231 00
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Indegree p-value | pi = | 0.000 00
|
Degree assortativity | ρ = | −0.024 258 7
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Degree assortativity p-value | pρ = | 0.000 00
|
Clustering coefficient | c = | 0.007 978 05
|
Directed clustering coefficient | c± = | 0.271 761
|
Spectral norm | α = | 1,663.52
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Operator 2-norm | ν = | 1,052.15
|
Reciprocity | y = | 0.395 336
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Non-bipartivity | bA = | 0.393 820
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Normalized non-bipartivity | bN = | 0.025 022 7
|
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 ]
|