Wikipedia edits (es)

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


Internal nameedit-eswiki
NameWikipedia edits (es)
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 =6,888,897
Left size n1 =953,483
Right size n2 =5,935,414
Volume m =67,426,422
Unique edge count m̿ =30,591,134
Wedge count s =2,126,236,949,528
Claw count z =364,321,571,344,455,360
Cross count x =4.084 55 × 1022
Maximum degree dmax =1,321,626
Maximum left degree d1max =1,321,626
Maximum right degree d2max =172,327
Average degree d =19.575 4
Average left degree d1 =70.715 9
Average right degree d2 =11.360 0
Fill p =5.405 45 × 10−6
Average edge multiplicity m̃ =2.204 12
Size of LCC N =6,659,818
Diameter δ =15
50-Percentile effective diameter δ0.5 =3.466 83
90-Percentile effective diameter δ0.9 =4.165 93
Median distance δM =4
Mean distance δm =3.907 39
Gini coefficient G =0.884 540
Balanced inequality ratio P =0.124 369
Left balanced inequality ratio P1 =0.054 286 2
Right balanced inequality ratio P2 =0.162 370
Relative edge distribution entropy Her =0.746 216
Power law exponent γ =2.471 10
Tail power law exponent γt =2.451 00
Degree assortativity ρ =−0.029 906 0
Degree assortativity p-value pρ =0.000 00
Spectral norm α =86,629.9
Spectral separation 1[A] / λ2[A]| =1.846 50


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 normalized adjacency matrix

Hop distribution

Edge weight/multiplicity distribution

Temporal distribution

Diameter/density evolution

Inter-event distribution



[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.