Wikipedia links (nds)

This network consists of the wikilinks of the Wikipedia in the Low German language (nds). 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

CodeWnds
Internal namewikipedia_link_nds
NameWikipedia links (nds)
Data sourcehttp://dumps.wikimedia.org/
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Category
Hyperlink network
Node meaningArticle
Edge meaningWikilink
Network formatUnipartite, directed
Edge typeUnweighted, no multiple edges
ReciprocalContains reciprocal edges
Directed cyclesContains directed cycles
LoopsContains loops

Statistics

Size n =39,034
Volume m =541,578
Loop count l =391
Wedge count s =118,040,301
Claw count z =75,295,914,059
Cross count x =50,487,272,059,285
Triangle count t =2,220,994
Square count q =351,937,494
4-Tour count T4 =3,288,516,694
Maximum degree dmax =3,730
Maximum outdegree d+max =702
Maximum indegree dmax =3,695
Average degree d =27.749 0
Fill p =0.000 355 447
Size of LCC N =38,842
Size of LSCC Ns =28,601
Relative size of LSCC Nrs =0.732 720
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.321 18
90-Percentile effective diameter δ0.9 =4.589 33
Median distance δM =4
Mean distance δm =3.825 83
Gini coefficient G =0.715 706
Balanced inequality ratio P =0.222 836
Outdegree balanced inequality ratio P+ =0.247 654
Indegree balanced inequality ratio P =0.198 764
Relative edge distribution entropy Her =0.891 783
Power law exponent γ =1.500 80
Tail power law exponent γt =2.401 00
Tail power law exponent with p γ3 =2.401 00
p-value p =0.000 00
Outdegree tail power law exponent with p γ3,o =2.401 00
Outdegree p-value po =0.000 00
Indegree tail power law exponent with p γ3,i =2.021 00
Indegree p-value pi =0.000 00
Degree assortativity ρ =−0.131 566
Degree assortativity p-value pρ =0.000 00
In/outdegree correlation ρ± =+0.736 281
Clustering coefficient c =0.056 446 7
Directed clustering coefficient c± =0.231 547
Spectral norm α =192.434
Operator 2-norm ν =157.076
Cyclic eigenvalue π =88.141 0
Algebraic connectivity a =0.063 844 5
Spectral separation 1[A] / λ2[A]| =1.042 07
Reciprocity y =0.419 565
Non-bipartivity bA =0.281 807
Normalized non-bipartivity bN =0.034 493 0
Algebraic non-bipartivity χ =0.063 764 4
Spectral bipartite frustration bK =0.000 723 251
Controllability C =15,337
Relative controllability Cr =0.392 914

Plots

Fruchterman–Reingold graph drawing

Degree distribution

Cumulative degree distribution

Lorenz curve

Spectral distribution of the adjacency matrix

Spectral distribution of the normalized adjacency matrix

Spectral distribution of the Laplacian

Spectral graph drawing based on the adjacency matrix

Spectral graph drawing based on the Laplacian

Spectral graph drawing based on the normalized adjacency matrix

Degree assortativity

Zipf plot

Hop distribution

Double Laplacian graph drawing

Delaunay graph drawing

In/outdegree scatter plot

Clustering coefficient distribution

Average neighbor degree distribution

SynGraphy

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 ]