Wikiquote edits (br)

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

Metadata

Codeqbr
Internal nameedit-brwikiquote
NameWikiquote edits (br)
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 =906
Left size n1 =189
Right size n2 =717
Volume m =2,625
Unique edge count m̿ =1,440
Wedge count s =56,506
Claw count z =2,808,087
Cross count x =126,564,947
Square count q =23,761
4-Tour count T4 =420,864
Maximum degree dmax =679
Maximum left degree d1max =679
Maximum right degree d2max =98
Average degree d =5.794 70
Average left degree d1 =13.888 9
Average right degree d2 =3.661 09
Fill p =0.010 626 3
Average edge multiplicity m̃ =1.822 92
Size of LCC N =677
Diameter δ =14
50-Percentile effective diameter δ0.5 =3.486 08
90-Percentile effective diameter δ0.9 =6.010 96
Median distance δM =4
Mean distance δm =4.199 08
Gini coefficient G =0.754 747
Relative edge distribution entropy Her =0.836 625
Power law exponent γ =3.020 51
Tail power law exponent γt =2.091 00
Degree assortativity ρ =−0.203 619
Degree assortativity p-value pρ =6.095 76 × 10−15
Spectral norm α =106.011
Algebraic connectivity a =0.022 540 9

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.