Wikipedia links (yi)

This network consists of the wikilinks of the Wikipedia in the Yiddish language (yi). 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_yi
NameWikipedia links (yi)
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 =25,250
Volume m =698,864
Loop count l =47
Wedge count s =245,369,318
Claw count z =51,790,460,043
Cross count x =9,005,040,154,324
Triangle count t =4,261,479
Square count q =26,927,201,172
4-Tour count T4 =208,927,469,248
Maximum degree dmax =2,183
Maximum outdegree d+max =1,042
Maximum indegree dmax =2,088
Average degree d =55.355 6
Fill p =0.001 105 03
Size of LCC N =25,224
Size of LSCC Ns =15,960
Relative size of LSCC Nrs =0.641 041
Diameter δ =10
50-Percentile effective diameter δ0.5 =3.055 43
90-Percentile effective diameter δ0.9 =4.082 57
Median distance δM =4
Mean distance δm =3.578 67
Gini coefficient G =0.804 703
Balanced inequality ratio P =0.164 795
Outdegree balanced inequality ratio P+ =0.162 750
Indegree balanced inequality ratio P =0.169 298
Relative edge distribution entropy Her =0.861 025
Power law exponent γ =1.459 81
Tail power law exponent γt =1.761 00
Degree assortativity ρ =+0.551 796
Degree assortativity p-value pρ =0.000 00
In/outdegree correlation ρ± =+0.443 730
Clustering coefficient c =0.052 102 8
Directed clustering coefficient c± =0.482 927
Spectral norm α =575.887
Operator 2-norm ν =571.839
Cyclic eigenvalue π =82.428 9
Algebraic connectivity a =0.106 582
Reciprocity y =0.221 353
Non-bipartivity bA =0.028 610 1
Normalized non-bipartivity bN =0.033 019 3
Spectral bipartite frustration bK =0.000 522 474


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 ]