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This network consists of the wikilinks of the Wikipedia in the French language
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Metadata
Statistics
Size | n = | 3,333,397
|
Volume | m = | 123,709,902
|
Loop count | l = | 19,806
|
Wedge count | s = | 632,633,116,550
|
Claw count | z = | 30,670,924,502,014,800
|
Cross count | x = | 2.027 9 × 1021
|
Triangle count | t = | 3,068,090,203
|
Maximum degree | dmax = | 400,784
|
Maximum outdegree | d+max = | 6,664
|
Maximum indegree | d−max = | 398,659
|
Average degree | d = | 74.224 5
|
Fill | p = | 1.120 22 × 10−5
|
Size of LCC | N = | 3,333,272
|
Size of LSCC | Ns = | 2,047,206
|
Relative size of LSCC | Nrs = | 0.677 173
|
Diameter | δ = | 10
|
50-Percentile effective diameter | δ0.5 = | 3.222 72
|
90-Percentile effective diameter | δ0.9 = | 4.331 02
|
Median distance | δM = | 4
|
Mean distance | δm = | 3.706 82
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Gini coefficient | G = | 0.763 234
|
Balanced inequality ratio | P = | 0.189 652
|
Outdegree balanced inequality ratio | P+ = | 0.216 811
|
Indegree balanced inequality ratio | P− = | 0.168 168
|
Relative edge distribution entropy | Her = | 0.891 060
|
Power law exponent | γ = | 1.420 63
|
Degree assortativity | ρ = | −0.044 775 0
|
Degree assortativity p-value | pρ = | 0.000 00
|
Clustering coefficient | c = | 0.014 549 1
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Directed clustering coefficient | c± = | 0.309 469
|
Spectral norm | α = | 2,159.78
|
Operator 2-norm | ν = | 2,321.08
|
Reciprocity | y = | 0.374 443
|
Non-bipartivity | bA = | 0.186 485
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Normalized non-bipartivity | bN = | 0.036 999 4
|
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 ]
|