Wikipedia edits (szl)

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


Internal nameedit-szlwiki
NameWikipedia edits (szl)
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 =17,240
Left size n1 =1,534
Right size n2 =15,706
Volume m =189,325
Unique edge count m̿ =85,957
Wedge count s =101,234,583
Claw count z =130,822,187,617
Cross count x =156,203,255,811,145
Square count q =218,510,518
4-Tour count T4 =2,153,272,266
Maximum degree dmax =13,097
Maximum left degree d1max =13,097
Maximum right degree d2max =384
Average degree d =21.963 5
Average left degree d1 =123.419
Average right degree d2 =12.054 3
Fill p =0.003 567 72
Average edge multiplicity m̃ =2.202 55
Size of LCC N =16,717
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.135 70
90-Percentile effective diameter δ0.9 =3.898 23
Median distance δM =4
Mean distance δm =3.296 71
Gini coefficient G =0.853 680
Balanced inequality ratio P =0.151 169
Left balanced inequality ratio P1 =0.053 812 2
Right balanced inequality ratio P2 =0.202 467
Relative edge distribution entropy Her =0.750 485
Power law exponent γ =2.019 05
Tail power law exponent γt =1.691 00
Tail power law exponent with p γ3 =1.691 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.691 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =8.911 00
Right p-value p2 =0.187 000
Degree assortativity ρ =−0.295 206
Degree assortativity p-value pρ =0.000 00
Spectral norm α =665.951
Algebraic connectivity a =0.024 015 0


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.