Wikiquote edits (es)

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


Internal nameedit-eswikisource
NameWikiquote 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 =213,453
Left size n1 =3,235
Right size n2 =210,218
Volume m =779,562
Unique edge count m̿ =418,562
Wedge count s =3,360,230,243
Claw count z =34,154,143,543,989
Cross count x =309,698,911,343,366,016
Square count q =624,962,942
4-Tour count T4 =18,441,668,628
Maximum degree dmax =120,157
Maximum left degree d1max =120,157
Maximum right degree d2max =19,307
Average degree d =7.304 30
Average left degree d1 =240.977
Average right degree d2 =3.708 35
Fill p =0.000 615 482
Average edge multiplicity m̃ =1.862 48
Size of LCC N =211,549
Diameter δ =12
50-Percentile effective diameter δ0.5 =3.453 92
90-Percentile effective diameter δ0.9 =3.974 20
Median distance δM =4
Mean distance δm =3.834 73
Gini coefficient G =0.743 124
Balanced inequality ratio P =0.207 868
Left balanced inequality ratio P1 =0.051 729 0
Right balanced inequality ratio P2 =0.315 730
Relative edge distribution entropy Her =0.718 096
Power law exponent γ =2.991 51
Tail power law exponent γt =1.581 00
Degree assortativity ρ =−0.106 553
Degree assortativity p-value pρ =0.000 00
Spectral norm α =19,347.4


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

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.