Wikipedia edits (nn)

This is the bipartite edit network of the Norwegian Nynorsk Wikipedia. It contains users and pages from the Norwegian Nynorsk Wikipedia, connected by edit events. Each edge represents an edit. The dataset includes the timestamp of each edit.


Internal nameedit-nnwiki
NameWikipedia edits (nn)
Data source
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Authorship network
Dataset timestamp 2017-10-20
Node meaningUser, article
Edge meaningEdit
Network formatBipartite, undirected
Edge typeUnweighted, multiple edges
Temporal data Edges are annotated with timestamps


Size n =328,414
Left size n1 =10,529
Right size n2 =317,885
Volume m =2,803,064
Unique edge count m̿ =1,612,792
Wedge count s =32,600,290,661
Claw count z =898,534,934,741,636
Cross count x =2.367 99 × 1019
Square count q =45,823,346,622
4-Tour count T4 =496,994,079,552
Maximum degree dmax =177,546
Maximum left degree d1max =177,546
Maximum right degree d2max =8,511
Average degree d =17.070 3
Average left degree d1 =266.223
Average right degree d2 =8.817 86
Fill p =0.000 481 860
Average edge multiplicity m̃ =1.738 02
Size of LCC N =325,559
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.197 48
90-Percentile effective diameter δ0.9 =3.862 51
Median distance δM =4
Mean distance δm =3.308 17
Gini coefficient G =0.843 385
Balanced inequality ratio P =0.158 159
Left balanced inequality ratio P1 =0.024 896 7
Right balanced inequality ratio P2 =0.223 223
Relative edge distribution entropy Her =0.705 598
Power law exponent γ =2.041 15
Tail power law exponent γt =3.371 00
Degree assortativity ρ =−0.289 464
Degree assortativity p-value pρ =0.000 00
Spectral norm α =5,790.13


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

Edge weight/multiplicity distribution

Temporal distribution

Diameter/density evolution

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 ]
[2] Wikimedia Foundation. Wikimedia downloads., January 2010.