Wikiquote edits (fr)

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

Metadata

Codeqfr
Internal nameedit-frwikiquote
NameWikiquote edits (fr)
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 =27,896
Left size n1 =4,446
Right size n2 =23,450
Volume m =184,257
Unique edge count m̿ =77,629
Wedge count s =89,957,474
Claw count z =152,822,898,532
Cross count x =240,086,221,199,481
Square count q =38,993,270
4-Tour count T4 =672,016,582
Maximum degree dmax =18,359
Maximum left degree d1max =18,359
Maximum right degree d2max =5,774
Average degree d =13.210 3
Average left degree d1 =41.443 3
Average right degree d2 =7.857 44
Fill p =0.000 744 581
Average edge multiplicity m̃ =2.373 56
Size of LCC N =27,232
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.380 35
90-Percentile effective diameter δ0.9 =4.503 08
Median distance δM =4
Mean distance δm =3.726 21
Gini coefficient G =0.830 172
Balanced inequality ratio P =0.164 688
Left balanced inequality ratio P1 =0.086 558 4
Right balanced inequality ratio P2 =0.212 193
Relative edge distribution entropy Her =0.771 129
Power law exponent γ =2.351 21
Tail power law exponent γt =2.351 00
Tail power law exponent with p γ3 =2.351 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.841 00
Left p-value p1 =0.843 000
Right tail power law exponent with p γ3,2 =3.581 00
Right p-value p2 =0.802 000
Degree assortativity ρ =−0.245 160
Degree assortativity p-value pρ =0.000 00
Spectral norm α =6,964.96
Algebraic connectivity a =0.090 546 1

Plots

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

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.