Wikiquote edits (eu)

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

Metadata

Codeqeu
Internal nameedit-euwikiquote
NameWikiquote edits (eu)
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 =1,380
Left size n1 =242
Right size n2 =1,138
Volume m =5,591
Unique edge count m̿ =2,604
Wedge count s =161,015
Claw count z =11,478,179
Cross count x =766,536,575
Square count q =66,924
4-Tour count T4 =1,187,072
Maximum degree dmax =1,627
Maximum left degree d1max =1,627
Maximum right degree d2max =184
Average degree d =8.102 90
Average left degree d1 =23.103 3
Average right degree d2 =4.913 01
Fill p =0.009 455 48
Average edge multiplicity m̃ =2.147 08
Size of LCC N =1,113
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.454 13
90-Percentile effective diameter δ0.9 =5.588 82
Median distance δM =4
Mean distance δm =4.006 22
Gini coefficient G =0.784 428
Balanced inequality ratio P =0.182 257
Left balanced inequality ratio P1 =0.117 868
Right balanced inequality ratio P2 =0.234 842
Relative edge distribution entropy Her =0.820 699
Power law exponent γ =2.777 57
Tail power law exponent γt =2.011 00
Tail power law exponent with p γ3 =2.011 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.701 00
Left p-value p1 =0.226 000
Right tail power law exponent with p γ3,2 =6.761 00
Right p-value p2 =0.231 000
Degree assortativity ρ =−0.131 391
Degree assortativity p-value pρ =1.687 75 × 10−11
Spectral norm α =184.230
Algebraic connectivity a =0.030 187 7
Spectral separation 1[A] / λ2[A]| =3.427 63
Controllability C =908
Relative controllability Cr =0.660 844

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.