Wikipedia links (mr)

This network consists of the wikilinks of the Wikipedia in the Marathi language (mr). 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_mr
NameWikipedia links (mr)
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 =89,269
Volume m =1,803,329
Loop count l =473
Wedge count s =357,504,371
Claw count z =278,672,735,515
Cross count x =332,702,071,517,176
Triangle count t =49,265,716
Square count q =10,129,745,915
4-Tour count T4 =82,470,635,624
Maximum degree dmax =9,022
Maximum outdegree d+max =1,110
Maximum indegree dmax =8,624
Average degree d =40.402 1
Fill p =0.000 226 294
Size of LCC N =88,492
Size of LSCC Ns =56,360
Relative size of LSCC Nrs =0.631 350
Diameter δ =12
50-Percentile effective diameter δ0.5 =3.494 47
90-Percentile effective diameter δ0.9 =4.710 65
Mean distance δm =4.008 09
Gini coefficient G =0.816 896
Relative edge distribution entropy Her =0.868 558
Power law exponent γ =1.545 72
Tail power law exponent γt =1.781 00
Degree assortativity ρ =−0.035 394 6
Degree assortativity p-value pρ =0.000 00
In/outdegree correlation ρ± =+0.724 128
Clustering coefficient c =0.413 414
Directed clustering coefficient c± =0.737 109
Spectral norm α =746.748
Operator 2-norm ν =383.070
Cyclic eigenvalue π =363.594
Reciprocity y =0.529 779
Non-bipartivity bA =0.851 242
Normalized non-bipartivity bN =0.017 695 7
Spectral bipartite frustration bK =0.000 277 583


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 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 ]