Wikipedia links (cv)

This network consists of the wikilinks of the Wikipedia in the Chuvash language (cv). 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.


Internal namewikipedia_link_cv
NameWikipedia links (cv)
Data source
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Hyperlink network
Node meaningArticle
Edge meaningWikilink
Network formatUnipartite, directed
Edge typeUnweighted, no multiple edges
ReciprocalContains reciprocal edges
Directed cyclesContains directed cycles
LoopsContains loops


Size n =43,990
Volume m =850,024
Loop count l =27
Wedge count s =445,396,255
Claw count z =1,197,167,279,167
Cross count x =4,247,627,217,792,674
Triangle count t =12,738,274
Square count q =2,239,199,772
4-Tour count T4 =19,696,488,620
Maximum degree dmax =17,543
Maximum outdegree d+max =270
Maximum indegree dmax =17,542
Average degree d =38.646 2
Fill p =0.000 439 262
Size of LCC N =43,956
Size of LSCC Ns =23,246
Relative size of LSCC Nrs =0.528 438
Diameter δ =9
50-Percentile effective diameter δ0.5 =2.650 88
90-Percentile effective diameter δ0.9 =3.751 81
Median distance δM =3
Mean distance δm =3.172 17
Gini coefficient G =0.759 760
Relative edge distribution entropy Her =0.873 681
Power law exponent γ =1.438 52
Tail power law exponent γt =1.861 00
Degree assortativity ρ =−0.082 950 3
Degree assortativity p-value pρ =0.000 00
In/outdegree correlation ρ± =+0.663 576
Clustering coefficient c =0.085 799 6
Directed clustering coefficient c± =0.705 461
Spectral norm α =483.510
Operator 2-norm ν =242.509
Cyclic eigenvalue π =241.001
Algebraic connectivity a =0.110 973
Reciprocity y =0.464 219
Non-bipartivity bA =0.558 885
Normalized non-bipartivity bN =0.092 221 5
Spectral bipartite frustration bK =0.001 423 89


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

Delaunay graph drawing

In/outdegree scatter plot

Clustering coefficient distribution

Average neighbor degree distribution


Matrix decompositions plots



[1] Jérôme Kunegis. KONECT – The Koblenz Network Collection. In Proc. Int. Conf. on World Wide Web Companion, pages 1343–1350, 2013. [ http ]