Wikipedia links (fiu-vro)

This network consists of the wikilinks of the Wikipedia in the Võro language (fiu-vro). 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

CodeWfiu-vro
Internal namewikipedia_link_fiu_vro
NameWikipedia links (fiu-vro)
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 =6,424
Volume m =280,614
Loop count l =2
Wedge count s =45,396,041
Claw count z =37,328,723,112
Cross count x =7,339,763,364,382
Triangle count t =13,036,980
Square count q =3,345,511,441
4-Tour count T4 =26,945,988,978
Maximum degree dmax =2,191
Maximum outdegree d+max =437
Maximum indegree dmax =2,151
Average degree d =87.364 3
Fill p =0.006 799 83
Size of LCC N =6,401
Size of LSCC Ns =4,817
Relative size of LSCC Nrs =0.749 844
Diameter δ =10
50-Percentile effective diameter δ0.5 =2.876 72
90-Percentile effective diameter δ0.9 =4.037 52
Median distance δM =3
Mean distance δm =3.400 46
Gini coefficient G =0.829 219
Balanced inequality ratio P =0.126 676
Outdegree balanced inequality ratio P+ =0.138 019
Indegree balanced inequality ratio P =0.144 137
Relative edge distribution entropy Her =0.824 193
Power law exponent γ =1.446 95
Tail power law exponent γt =1.651 00
Tail power law exponent with p γ3 =1.651 00
p-value p =0.000 00
Outdegree tail power law exponent with p γ3,o =1.621 00
Outdegree p-value po =0.000 00
Indegree tail power law exponent with p γ3,i =1.421 00
Indegree p-value pi =0.000 00
Degree assortativity ρ =+0.198 302
Degree assortativity p-value pρ =0.000 00
In/outdegree correlation ρ± =+0.883 943
Clustering coefficient c =0.861 550
Directed clustering coefficient c± =0.970 614
Spectral norm α =760.305
Operator 2-norm ν =382.220
Cyclic eigenvalue π =378.068
Algebraic connectivity a =0.135 780
Spectral separation 1[A] / λ2[A]| =1.496 64
Reciprocity y =0.883 562
Non-bipartivity bA =0.937 193
Normalized non-bipartivity bN =0.064 840 6
Algebraic non-bipartivity χ =0.122 408
Spectral bipartite frustration bK =0.000 625 308
Controllability C =2,580
Relative controllability Cr =0.401 619

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 ]