Wikipedia edits (bh)

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


Internal nameedit-bhwiki
NameWikipedia edits (bh)
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 =61,119
Left size n1 =18,352
Right size n2 =42,767
Volume m =442,118
Unique edge count m̿ =217,454
Wedge count s =526,520,443
Claw count z =3,115,225,981,101
Cross count x =16,811,397,318,416,034
Square count q =387,809,757
4-Tour count T4 =5,209,034,440
Maximum degree dmax =42,426
Maximum left degree d1max =42,426
Maximum right degree d2max =3,329
Average degree d =14.467 4
Average left degree d1 =24.091 0
Average right degree d2 =10.337 8
Fill p =0.000 277 061
Average edge multiplicity m̃ =2.033 16
Size of LCC N =60,668
Diameter δ =10
50-Percentile effective diameter δ0.5 =3.134 43
90-Percentile effective diameter δ0.9 =4.509 83
Median distance δM =4
Mean distance δm =3.552 16
Gini coefficient G =0.827 951
Balanced inequality ratio P =0.157 175
Left balanced inequality ratio P1 =0.113 653
Right balanced inequality ratio P2 =0.174 822
Relative edge distribution entropy Her =0.786 672
Power law exponent γ =2.268 21
Tail power law exponent γt =2.321 00
Tail power law exponent with p γ3 =2.321 00
p-value p =0.187 000
Left tail power law exponent with p γ3,1 =1.921 00
Left p-value p1 =0.901 000
Right tail power law exponent with p γ3,2 =3.271 00
Right p-value p2 =0.297 000
Degree assortativity ρ =−0.251 078
Degree assortativity p-value pρ =0.000 00
Spectral norm α =835.705
Algebraic connectivity a =0.039 390 1
Spectral separation 1[A] / λ2[A]| =1.291 48
Controllability C =50,222
Relative controllability Cr =0.822 260


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

Double Laplacian graph drawing

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.