Wikipedia links (oc)
This network consists of the wikilinks of the Wikipedia in the Occitan language
(oc). 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 = | 96,228
|
Volume | m = | 23,312,547
|
Loop count | l = | 59
|
Wedge count | s = | 39,907,134,448
|
Claw count | z = | 355,606,090,074,732
|
Cross count | x = | 2,930,265,059,714,608,128
|
Triangle count | t = | 2,777,452,238
|
Square count | q = | 2,258,271,092,044
|
Maximum degree | dmax = | 40,758
|
Maximum outdegree | d+max = | 9,678
|
Maximum indegree | d−max = | 40,518
|
Average degree | d = | 484.527
|
Fill | p = | 0.002 517 60
|
Size of LCC | N = | 96,201
|
Size of LSCC | Ns = | 81,200
|
Relative size of LSCC | Nrs = | 0.843 829
|
Diameter | δ = | 9
|
50-Percentile effective diameter | δ0.5 = | 2.412 53
|
90-Percentile effective diameter | δ0.9 = | 3.429 70
|
Median distance | δM = | 3
|
Mean distance | δm = | 2.909 52
|
Gini coefficient | G = | 0.630 763
|
Balanced inequality ratio | P = | 0.269 256
|
Outdegree balanced inequality ratio | P+ = | 0.272 240
|
Indegree balanced inequality ratio | P− = | 0.274 363
|
Relative edge distribution entropy | Her = | 0.929 890
|
Power law exponent | γ = | 1.236 42
|
Degree assortativity | ρ = | −0.072 112 1
|
Degree assortativity p-value | pρ = | 0.000 00
|
In/outdegree correlation | ρ± = | +0.761 617
|
Clustering coefficient | c = | 0.208 794
|
Directed clustering coefficient | c± = | 0.968 228
|
Operator 2-norm | ν = | 1,419.75
|
Cyclic eigenvalue | π = | 1,247.00
|
Spectral separation | |λ1[A] / λ2[A]| = | 1.274 33
|
Reciprocity | y = | 0.744 309
|
Non-bipartivity | bA = | 0.602 293
|
Normalized non-bipartivity | bN = | 0.044 885 0
|
Algebraic non-bipartivity | χ = | 0.088 344 5
|
Spectral bipartite frustration | bK = | 7.258 16 × 10−5
|
Controllability | C = | 17,576
|
Relative controllability | Cr = | 0.182 650
|
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 ]
|