YouTube
This is the social network of YouTube users and their friendship connections.
Metadata
Statistics
| Size | n = | 3,223,589
|
| Volume | m = | 9,375,374
|
| Loop count | l = | 0
|
| Wedge count | s = | 26,535,309,102
|
| Claw count | z = | 409,390,882,186,801
|
| Cross count | x = | 6,774,196,341,151,129,600
|
| Triangle count | t = | 12,226,580
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| Square count | q = | 9,890,851,109
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| 4-Tour count | T4 = | 185,286,796,028
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| Maximum degree | dmax = | 91,751
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| Average degree | d = | 5.816 73
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| Fill | p = | 1.804 43 × 10−6
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| Size of LCC | N = | 3,216,075
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| Diameter | δ = | 31
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| 50-Percentile effective diameter | δ0.5 = | 4.652 66
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| 90-Percentile effective diameter | δ0.9 = | 6.643 30
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| Median distance | δM = | 5
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| Mean distance | δm = | 5.291 29
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| Gini coefficient | G = | 0.728 959
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| Balanced inequality ratio | P = | 0.210 291
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| Relative edge distribution entropy | Her = | 0.859 534
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| Power law exponent | γ = | 2.337 95
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| Tail power law exponent | γt = | 2.211 00
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| Degree assortativity | ρ = | −0.063 163 4
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| Degree assortativity p-value | pρ = | 0.000 00
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| Clustering coefficient | c = | 0.001 382 30
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| Spectral norm | α = | 464.866
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| Spectral separation | |λ1[A] / λ2[A]| = | 1.089 43
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| Non-bipartivity | bA = | 0.082 089 1
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| Normalized non-bipartivity | bN = | 0.001 666 96
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| Controllability | C = | 1,570,131
|
| Relative controllability | Cr = | 0.487 076
|
Plots
Downloads
References
|
[1]
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Jérôme Kunegis.
KONECT – The Koblenz Network Collection.
In Proc. Int. Conf. on World Wide Web Companion, pages
1343–1350, 2013.
[ http ]
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|
[2]
|
Alan Mislove.
Online Social Networks: Measurement, Analysis, and Applications
to Distributed Information Systems.
PhD thesis, Rice Univ., 2009.
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