Wikiquote edits (la)

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

Metadata

Codeqla
Internal nameedit-lawikiquote
NameWikiquote edits (la)
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 =1,681
Left size n1 =268
Right size n2 =1,413
Volume m =5,685
Unique edge count m̿ =2,637
Wedge count s =166,918
Claw count z =13,406,892
Cross count x =999,901,208
Square count q =35,308
4-Tour count T4 =956,318
Maximum degree dmax =1,985
Maximum left degree d1max =1,985
Maximum right degree d2max =449
Average degree d =6.763 83
Average left degree d1 =21.212 7
Average right degree d2 =4.023 35
Fill p =0.006 963 59
Average edge multiplicity m̃ =2.155 86
Size of LCC N =1,378
Diameter δ =13
50-Percentile effective diameter δ0.5 =3.630 50
90-Percentile effective diameter δ0.9 =5.897 78
Median distance δM =4
Mean distance δm =4.372 28
Gini coefficient G =0.769 987
Relative edge distribution entropy Her =0.820 145
Power law exponent γ =3.300 57
Tail power law exponent γt =2.181 00
Degree assortativity ρ =−0.345 886
Degree assortativity p-value pρ =5.537 09 × 10−75
Spectral norm α =377.339
Algebraic connectivity a =0.010 435 3

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.