Wikipedia edits (xh)

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


Internal nameedit-xhwiki
NameWikipedia edits (xh)
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 =3,606
Left size n1 =771
Right size n2 =2,835
Volume m =20,309
Unique edge count m̿ =9,082
Wedge count s =721,174
Claw count z =61,944,826
Cross count x =5,776,230,516
Square count q =1,551,339
4-Tour count T4 =15,321,964
Maximum degree dmax =1,578
Maximum left degree d1max =1,578
Maximum right degree d2max =256
Average degree d =11.264 0
Average left degree d1 =26.341 1
Average right degree d2 =7.163 67
Fill p =0.004 155 03
Average edge multiplicity m̃ =2.236 18
Size of LCC N =2,901
Diameter δ =13
50-Percentile effective diameter δ0.5 =3.830 73
90-Percentile effective diameter δ0.9 =5.771 80
Median distance δM =4
Mean distance δm =4.516 62
Gini coefficient G =0.826 546
Balanced inequality ratio P =0.151 878
Left balanced inequality ratio P1 =0.114 924
Right balanced inequality ratio P2 =0.188 537
Relative edge distribution entropy Her =0.814 746
Power law exponent γ =2.670 98
Tail power law exponent γt =1.971 00
Tail power law exponent with p γ3 =1.971 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.731 00
Left p-value p1 =0.003 000 00
Right tail power law exponent with p γ3,2 =2.071 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.194 944
Degree assortativity p-value pρ =1.738 77 × 10−78
Spectral norm α =207.063
Algebraic connectivity a =0.024 403 4
Spectral separation 1[A] / λ2[A]| =1.592 75
Controllability C =2,135
Relative controllability Cr =0.608 435


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.