Wikiquote edits (cy)

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

Metadata

Codeqcy
Internal nameedit-cywikisource
NameWikiquote edits (cy)
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 =1,511
Left size n1 =206
Right size n2 =1,305
Volume m =3,417
Unique edge count m̿ =1,696
Wedge count s =168,901
Claw count z =22,105,621
Cross count x =2,507,874,854
Square count q =4,572
4-Tour count T4 =717,752
Maximum degree dmax =1,454
Maximum left degree d1max =1,454
Maximum right degree d2max =193
Average degree d =4.522 83
Average left degree d1 =16.587 4
Average right degree d2 =2.618 39
Fill p =0.006 308 82
Average edge multiplicity m̃ =2.014 74
Size of LCC N =1,246
Diameter δ =14
50-Percentile effective diameter δ0.5 =3.720 24
90-Percentile effective diameter δ0.9 =5.972 61
Median distance δM =4
Mean distance δm =4.509 19
Gini coefficient G =0.720 559
Relative edge distribution entropy Her =0.798 083
Power law exponent γ =4.890 37
Tail power law exponent γt =2.601 00
Degree assortativity ρ =−0.182 806
Degree assortativity p-value pρ =3.276 97 × 10−14
Spectral norm α =177.798
Algebraic connectivity a =0.015 683 4

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.