Wikipedia links (gu)

This network consists of the wikilinks of the Wikipedia in the Gujarati language (gu). 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_gu
NameWikipedia links (gu)
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 =30,430
Volume m =1,327,439
Loop count l =53
Wedge count s =3,305,427,738
Claw count z =18,917,897,855,496
Cross count x =87,384,186,413,854,160
Triangle count t =33,580,708
Square count q =32,457,255,292
4-Tour count T4 =271,983,603,176
Maximum degree dmax =22,751
Maximum outdegree d+max =413
Maximum indegree dmax =22,620
Average degree d =87.245 4
Fill p =0.001 434 64
Size of LCC N =30,407
Size of LSCC Ns =25,971
Relative size of LSCC Nrs =0.863 398
Diameter δ =9
50-Percentile effective diameter δ0.5 =1.768 84
90-Percentile effective diameter δ0.9 =2.848 58
Median distance δM =2
Mean distance δm =2.408 28
Gini coefficient G =0.720 251
Balanced inequality ratio P =0.206 689
Outdegree balanced inequality ratio P+ =0.274 522
Indegree balanced inequality ratio P =0.157 588
Relative edge distribution entropy Her =0.861 751
Power law exponent γ =1.320 77
Tail power law exponent γt =2.141 00
Degree assortativity ρ =−0.254 064
Degree assortativity p-value pρ =0.000 00
In/outdegree correlation ρ± =+0.612 329
Clustering coefficient c =0.030 477 8
Directed clustering coefficient c± =0.885 205
Spectral norm α =760.939
Operator 2-norm ν =575.592
Cyclic eigenvalue π =379.041
Algebraic connectivity a =0.137 981
Reciprocity y =0.563 289
Non-bipartivity bA =0.269 533
Normalized non-bipartivity bN =0.086 231 0
Spectral bipartite frustration bK =0.000 552 832


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 ]