Wikipedia edits (als)
This is the bipartite edit network of the Alemannisch Wikipedia. It contains
users and pages from the Alemannisch Wikipedia, connected by edit events. Each
edge represents an edit. The dataset includes the timestamp of each edit.
Metadata
Statistics
Size | n = | 55,065
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Left size | n1 = | 4,895
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Right size | n2 = | 50,170
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Volume | m = | 678,457
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Unique edge count | m̿ = | 243,105
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Wedge count | s = | 1,002,865,790
|
Claw count | z = | 7,076,971,627,239
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Cross count | x = | 49,614,441,335,745,896
|
Square count | q = | 980,620,219
|
4-Tour count | T4 = | 11,856,920,670
|
Maximum degree | dmax = | 194,764
|
Maximum left degree | d1max = | 194,764
|
Maximum right degree | d2max = | 6,306
|
Average degree | d = | 24.642 0
|
Average left degree | d1 = | 138.602
|
Average right degree | d2 = | 13.523 2
|
Fill | p = | 0.000 989 913
|
Average edge multiplicity | m̃ = | 2.790 80
|
Size of LCC | N = | 53,513
|
Diameter | δ = | 12
|
50-Percentile effective diameter | δ0.5 = | 2.417 48
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90-Percentile effective diameter | δ0.9 = | 3.860 19
|
Median distance | δM = | 3
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Mean distance | δm = | 3.046 73
|
Gini coefficient | G = | 0.832 931
|
Balanced inequality ratio | P = | 0.167 535
|
Left balanced inequality ratio | P1 = | 0.035 947 7
|
Right balanced inequality ratio | P2 = | 0.233 895
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Relative edge distribution entropy | Her = | 0.734 496
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Power law exponent | γ = | 2.061 20
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Tail power law exponent | γt = | 2.351 00
|
Tail power law exponent with p | γ3 = | 2.351 00
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p-value | p = | 0.000 00
|
Left tail power law exponent with p | γ3,1 = | 1.831 00
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Left p-value | p1 = | 0.000 00
|
Right tail power law exponent with p | γ3,2 = | 6.041 00
|
Right p-value | p2 = | 0.182 000
|
Degree assortativity | ρ = | −0.321 267
|
Degree assortativity p-value | pρ = | 0.000 00
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Spectral norm | α = | 4,490.36
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Algebraic connectivity | a = | 0.017 472 3
|
Spectral separation | |λ1[A] / λ2[A]| = | 3.401 85
|
Controllability | C = | 46,466
|
Relative controllability | Cr = | 0.849 454
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Plots
Matrix decompositions 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]
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Wikimedia Foundation.
Wikimedia downloads.
http://dumps.wikimedia.org/, January 2010.
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