Wikipedia edits (pa)

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


Internal nameedit-pawiki
NameWikipedia edits (pa)
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 =90,005
Left size n1 =2,556
Right size n2 =87,449
Volume m =359,766
Unique edge count m̿ =189,836
Wedge count s =737,583,603
Claw count z =3,433,668,557,027
Cross count x =13,986,413,949,489,736
Square count q =229,270,842
4-Tour count T4 =4,784,956,640
Maximum degree dmax =48,500
Maximum left degree d1max =48,500
Maximum right degree d2max =2,029
Average degree d =7.994 36
Average left degree d1 =140.754
Average right degree d2 =4.114 01
Fill p =0.000 849 303
Average edge multiplicity m̃ =1.895 14
Size of LCC N =88,948
Diameter δ =13
50-Percentile effective diameter δ0.5 =3.460 75
90-Percentile effective diameter δ0.9 =4.037 71
Median distance δM =4
Mean distance δm =3.872 94
Gini coefficient G =0.804 026
Balanced inequality ratio P =0.173 199
Left balanced inequality ratio P1 =0.049 724 0
Right balanced inequality ratio P2 =0.252 764
Relative edge distribution entropy Her =0.717 180
Power law exponent γ =3.241 83
Tail power law exponent γt =2.411 00
Tail power law exponent with p γ3 =2.411 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.551 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =2.471 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.291 245
Degree assortativity p-value pρ =0.000 00
Spectral norm α =629.430
Algebraic connectivity a =0.007 796 32
Spectral separation 1[A] / λ2[A]| =1.193 72
Controllability C =85,081
Relative controllability Cr =0.946 891


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

Edge weight/multiplicity distribution

Temporal distribution

Temporal hop 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.