Wikipedia edits (la)

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


Internal nameedit-lawiki
NameWikipedia edits (la)
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 =256,074
Left size n1 =10,610
Right size n2 =245,464
Volume m =2,989,365
Unique edge count m̿ =1,459,485
Wedge count s =28,217,772,934
Claw count z =654,428,851,241,290
Square count q =40,389,482,804
4-Tour count T4 =435,993,250,854
Maximum degree dmax =231,494
Maximum left degree d1max =231,494
Maximum right degree d2max =4,204
Average degree d =23.347 7
Average left degree d1 =281.750
Average right degree d2 =12.178 4
Average edge multiplicity m̃ =2.048 23
Size of LCC N =251,981
Diameter δ =12
50-Percentile effective diameter δ0.5 =2.807 87
90-Percentile effective diameter δ0.9 =3.837 95
Median distance δM =3
Mean distance δm =3.067 61
Gini coefficient G =0.824 765
Balanced inequality ratio P =0.172 676
Left balanced inequality ratio P1 =0.028 267 9
Right balanced inequality ratio P2 =0.246 885
Power law exponent γ =1.817 49
Tail power law exponent γt =2.651 00
Degree assortativity ρ =−0.312 822
Degree assortativity p-value pρ =0.000 00
Spectral norm α =4,321.17
Algebraic connectivity a =0.050 612 1


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

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.