Wikipedia links (vec)

This network consists of the wikilinks of the Wikipedia in the Venetian language (vec). 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

CodeWvec
Internal namewikipedia_link_vec
NameWikipedia links (vec)
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 =17,524
Volume m =293,008
Loop count l =136
Wedge count s =65,643,738
Claw count z =42,682,121,641
Cross count x =26,682,295,604,888
Triangle count t =2,656,022
Square count q =415,788,871
4-Tour count T4 =3,589,321,046
Maximum degree dmax =3,011
Maximum outdegree d+max =384
Maximum indegree dmax =3,011
Average degree d =33.440 8
Fill p =0.000 954 142
Size of LCC N =17,493
Size of LSCC Ns =10,849
Relative size of LSCC Nrs =0.619 094
Diameter δ =15
50-Percentile effective diameter δ0.5 =3.167 86
90-Percentile effective diameter δ0.9 =4.440 03
Median distance δM =4
Mean distance δm =3.677 24
Gini coefficient G =0.721 509
Balanced inequality ratio P =0.219 651
Outdegree balanced inequality ratio P+ =0.230 697
Indegree balanced inequality ratio P =0.218 001
Relative edge distribution entropy Her =0.886 480
Power law exponent γ =1.505 78
Tail power law exponent γt =2.671 00
Tail power law exponent with p γ3 =2.671 00
p-value p =0.000 00
Outdegree tail power law exponent with p γ3,o =2.961 00
Outdegree p-value po =0.000 00
Indegree tail power law exponent with p γ3,i =2.451 00
Indegree p-value pi =0.000 00
Degree assortativity ρ =−0.117 668
Degree assortativity p-value pρ =0.000 00
In/outdegree correlation ρ± =+0.777 922
Clustering coefficient c =0.121 383
Directed clustering coefficient c± =0.645 892
Operator 2-norm ν =189.343
Algebraic connectivity a =0.025 646 5
Reciprocity y =0.514 505
Normalized non-bipartivity bN =0.070 440 6
Spectral bipartite frustration bK =0.001 221 07
Controllability C =6,724
Relative controllability Cr =0.383 702

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 ]