Wikipedia edits (ia)

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


Internal nameedit-iawiki
NameWikipedia edits (ia)
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 =35,162
Left size n1 =2,509
Right size n2 =32,653
Volume m =521,965
Unique edge count m̿ =251,824
Wedge count s =650,922,024
Claw count z =2,037,142,496,304
Cross count x =6,069,540,528,610,593
Square count q =1,864,671,663
4-Tour count T4 =17,521,989,408
Maximum degree dmax =37,071
Maximum left degree d1max =37,071
Maximum right degree d2max =4,555
Average degree d =29.689 2
Average left degree d1 =208.037
Average right degree d2 =15.985 2
Fill p =0.003 073 78
Average edge multiplicity m̃ =2.072 74
Size of LCC N =32,888
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.219 86
90-Percentile effective diameter δ0.9 =4.222 12
Median distance δM =4
Mean distance δm =3.479 84
Gini coefficient G =0.833 721
Balanced inequality ratio P =0.162 798
Left balanced inequality ratio P1 =0.046 476 3
Right balanced inequality ratio P2 =0.234 431
Relative edge distribution entropy Her =0.753 395
Power law exponent γ =1.727 27
Tail power law exponent γt =2.251 00
Degree assortativity ρ =−0.272 671
Degree assortativity p-value pρ =0.000 00
Spectral norm α =4,536.20
Algebraic connectivity a =0.049 198 1


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

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.