Wikipedia links (gd)
This network consists of the wikilinks of the Wikipedia in the Scottish Gaelic
language (gd). Nodes are Wikipedia articles, and directed edges are wikilinks,
i.e., hyperlinks within one wiki. In the wiki source, these are indicated with
[[double brackets]]. Only pages in the article namespace are included.
Metadata
Statistics
Size | n = | 22,978
|
Volume | m = | 340,005
|
Loop count | l = | 1
|
Wedge count | s = | 55,618,385
|
Claw count | z = | 29,747,392,013
|
Cross count | x = | 16,501,983,838,129
|
Triangle count | t = | 2,775,845
|
Square count | q = | 314,601,614
|
4-Tour count | T4 = | 2,739,792,104
|
Maximum degree | dmax = | 3,242
|
Maximum outdegree | d+max = | 549
|
Maximum indegree | d−max = | 3,239
|
Average degree | d = | 29.594 0
|
Fill | p = | 0.000 643 963
|
Size of LCC | N = | 22,924
|
Size of LSCC | Ns = | 15,556
|
Relative size of LSCC | Nrs = | 0.676 995
|
Diameter | δ = | 11
|
50-Percentile effective diameter | δ0.5 = | 3.088 55
|
90-Percentile effective diameter | δ0.9 = | 4.442 05
|
Median distance | δM = | 4
|
Mean distance | δm = | 3.630 79
|
Gini coefficient | G = | 0.734 020
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Balanced inequality ratio | P = | 0.211 263
|
Outdegree balanced inequality ratio | P+ = | 0.232 508
|
Indegree balanced inequality ratio | P− = | 0.200 762
|
Relative edge distribution entropy | Her = | 0.886 270
|
Power law exponent | γ = | 1.518 72
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Tail power law exponent | γt = | 2.681 00
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Tail power law exponent with p | γ3 = | 2.681 00
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p-value | p = | 0.000 00
|
Outdegree tail power law exponent with p | γ3,o = | 2.161 00
|
Outdegree p-value | po = | 0.000 00
|
Indegree tail power law exponent with p | γ3,i = | 2.511 00
|
Indegree p-value | pi = | 0.000 00
|
Degree assortativity | ρ = | −0.112 119
|
Degree assortativity p-value | pρ = | 0.000 00
|
In/outdegree correlation | ρ± = | +0.756 233
|
Clustering coefficient | c = | 0.149 726
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Directed clustering coefficient | c± = | 0.637 456
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Spectral norm | α = | 349.548
|
Operator 2-norm | ν = | 178.488
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Cyclic eigenvalue | π = | 171.097
|
Algebraic connectivity | a = | 0.115 665
|
Spectral separation | |λ1[A] / λ2[A]| = | 1.503 16
|
Reciprocity | y = | 0.512 807
|
Non-bipartivity | bA = | 0.657 630
|
Normalized non-bipartivity | bN = | 0.055 711 8
|
Algebraic non-bipartivity | χ = | 0.108 045
|
Spectral bipartite frustration | bK = | 0.001 224 71
|
Controllability | C = | 8,545
|
Relative controllability | Cr = | 0.371 877
|
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 ]
|