Wikipedia links (nah)
This network consists of the wikilinks of the Wikipedia in the Nāhuatl
language (nah). 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 = | 10,285
|
Volume | m = | 180,916
|
Loop count | l = | 20
|
Wedge count | s = | 26,218,044
|
Claw count | z = | 10,640,390,438
|
Cross count | x = | 5,280,190,124,151
|
Triangle count | t = | 1,529,860
|
Square count | q = | 145,807,606
|
4-Tour count | T4 = | 1,271,618,446
|
Maximum degree | dmax = | 2,698
|
Maximum outdegree | d+max = | 372
|
Maximum indegree | d−max = | 2,696
|
Average degree | d = | 35.180 6
|
Fill | p = | 0.001 710 28
|
Size of LCC | N = | 10,160
|
Size of LSCC | Ns = | 6,504
|
Relative size of LSCC | Nrs = | 0.632 377
|
Diameter | δ = | 10
|
50-Percentile effective diameter | δ0.5 = | 3.106 67
|
90-Percentile effective diameter | δ0.9 = | 4.427 55
|
Median distance | δM = | 4
|
Mean distance | δm = | 3.604 91
|
Gini coefficient | G = | 0.673 232
|
Balanced inequality ratio | P = | 0.254 574
|
Outdegree balanced inequality ratio | P+ = | 0.256 069
|
Indegree balanced inequality ratio | P− = | 0.260 259
|
Relative edge distribution entropy | Her = | 0.902 760
|
Power law exponent | γ = | 1.453 96
|
Tail power law exponent | γt = | 2.541 00
|
Tail power law exponent with p | γ3 = | 2.541 00
|
p-value | p = | 0.000 00
|
Outdegree tail power law exponent with p | γ3,o = | 3.061 00
|
Outdegree p-value | po = | 0.000 00
|
Indegree tail power law exponent with p | γ3,i = | 2.501 00
|
Indegree p-value | pi = | 0.000 00
|
Degree assortativity | ρ = | −0.103 422
|
Degree assortativity p-value | pρ = | 0.000 00
|
In/outdegree correlation | ρ± = | +0.676 463
|
Clustering coefficient | c = | 0.175 054
|
Directed clustering coefficient | c± = | 0.679 270
|
Spectral norm | α = | 187.712
|
Operator 2-norm | ν = | 114.739
|
Cyclic eigenvalue | π = | 88.337 3
|
Algebraic connectivity | a = | 0.084 254 6
|
Spectral separation | |λ1[A] / λ2[A]| = | 1.044 28
|
Reciprocity | y = | 0.422 240
|
Non-bipartivity | bA = | 0.467 966
|
Normalized non-bipartivity | bN = | 0.048 566 1
|
Algebraic non-bipartivity | χ = | 0.084 319 2
|
Spectral bipartite frustration | bK = | 0.000 750 628
|
Controllability | C = | 3,539
|
Relative controllability | Cr = | 0.344 093
|
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 ]
|