Wikiquote edits (sah)

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

Metadata

Codeqsah
Internal nameedit-sahwikisource
NameWikiquote edits (sah)
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 =1,832
Left size n1 =315
Right size n2 =1,517
Volume m =5,882
Unique edge count m̿ =2,663
Wedge count s =537,345
Claw count z =110,555,894
Cross count x =18,338,870,281
Square count q =116,105
4-Tour count T4 =3,091,038
Maximum degree dmax =2,202
Maximum left degree d1max =2,202
Maximum right degree d2max =188
Average degree d =6.421 40
Average left degree d1 =18.673 0
Average right degree d2 =3.877 39
Fill p =0.005 572 82
Average edge multiplicity m̃ =2.208 79
Size of LCC N =1,559
Diameter δ =13
50-Percentile effective diameter δ0.5 =2.740 08
90-Percentile effective diameter δ0.9 =4.420 15
Median distance δM =3
Mean distance δm =3.271 63
Gini coefficient G =0.758 282
Relative edge distribution entropy Her =0.759 844
Power law exponent γ =3.337 69
Tail power law exponent γt =1.951 00
Degree assortativity ρ =−0.337 879
Degree assortativity p-value pρ =4.113 55 × 10−72
Algebraic connectivity a =0.013 760 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.