Wikiquote edits (sk)

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

Metadata

Codeqsk
Internal nameedit-skwikisource
NameWikiquote edits (sk)
Data sourcehttp://dumps.wikimedia.org/
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Category
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

Statistics

Size n =1,403
Left size n1 =260
Right size n2 =1,143
Volume m =3,143
Unique edge count m̿ =2,072
Wedge count s =135,267
Claw count z =11,210,656
Cross count x =827,275,393
Square count q =18,988
4-Tour count T4 =699,548
Maximum degree dmax =542
Maximum left degree d1max =542
Maximum right degree d2max =154
Average degree d =4.480 40
Average left degree d1 =12.088 5
Average right degree d2 =2.749 78
Fill p =0.006 972 21
Average edge multiplicity m̃ =1.516 89
Size of LCC N =1,225
Diameter δ =12
50-Percentile effective diameter δ0.5 =3.734 50
90-Percentile effective diameter δ0.9 =5.811 96
Median distance δM =4
Mean distance δm =4.391 12
Gini coefficient G =0.698 092
Balanced inequality ratio P =0.225 899
Left balanced inequality ratio P1 =0.146 675
Right balanced inequality ratio P2 =0.317 849
Relative edge distribution entropy Her =0.826 154
Power law exponent γ =3.061 35
Tail power law exponent γt =2.681 00
Tail power law exponent with p γ3 =2.681 00
p-value p =0.004 000 00
Left tail power law exponent with p γ3,1 =1.831 00
Left p-value p1 =0.423 000
Right tail power law exponent with p γ3,2 =3.681 00
Right p-value p2 =0.099 000 0
Degree assortativity ρ =−0.134 090
Degree assortativity p-value pρ =8.917 51 × 10−10
Spectral norm α =80.035 6
Algebraic connectivity a =0.031 283 2

Plots

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

Double Laplacian graph drawing

Delaunay graph drawing

Edge weight/multiplicity distribution

Temporal distribution

Temporal hop distribution

Diameter/density evolution

Matrix decompositions plots

Downloads

References

[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. http://dumps.wikimedia.org/, January 2010.