Wikiquote edits (ang)

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

Metadata

Codeqang
Internal nameedit-angwikiquote
NameWikiquote edits (ang)
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 =625
Left size n1 =109
Right size n2 =516
Volume m =1,303
Unique edge count m̿ =823
Wedge count s =56,787
Claw count z =4,034,905
Cross count x =224,438,420
Square count q =21,264
4-Tour count T4 =400,706
Maximum degree dmax =432
Maximum left degree d1max =432
Maximum right degree d2max =42
Average degree d =4.169 60
Average left degree d1 =11.954 1
Average right degree d2 =2.525 19
Fill p =0.014 632 7
Average edge multiplicity m̃ =1.583 23
Size of LCC N =446
Diameter δ =14
50-Percentile effective diameter δ0.5 =3.237 39
90-Percentile effective diameter δ0.9 =8.503 37
Median distance δM =4
Mean distance δm =4.900 59
Gini coefficient G =0.661 897
Balanced inequality ratio P =0.251 727
Left balanced inequality ratio P1 =0.142 748
Right balanced inequality ratio P2 =0.354 566
Relative edge distribution entropy Her =0.795 138
Power law exponent γ =3.335 10
Tail power law exponent γt =2.051 00
Tail power law exponent with p γ3 =2.051 00
p-value p =0.029 000 0
Left tail power law exponent with p γ3,1 =1.881 00
Left p-value p1 =0.346 000
Right tail power law exponent with p γ3,2 =5.261 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.124 579
Degree assortativity p-value pρ =0.000 340 374
Spectral norm α =42.201 9
Algebraic connectivity a =0.002 382 96

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.