Wikibooks edits (ie)

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

Metadata

Codebie
Internal nameedit-iewikibooks
NameWikibooks edits (ie)
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 =705
Left size n1 =137
Right size n2 =568
Volume m =1,117
Unique edge count m̿ =651
Wedge count s =23,491
Claw count z =1,192,943
Cross count x =49,043,917
Square count q =156
4-Tour count T4 =96,978
Maximum degree dmax =383
Maximum left degree d1max =383
Maximum right degree d2max =53
Average degree d =3.168 79
Average left degree d1 =8.153 28
Average right degree d2 =1.966 55
Fill p =0.008 365 89
Average edge multiplicity m̃ =1.715 82
Size of LCC N =431
Diameter δ =12
50-Percentile effective diameter δ0.5 =4.523 24
90-Percentile effective diameter δ0.9 =7.422 94
Median distance δM =5
Mean distance δm =4.832 24
Gini coefficient G =0.667 625
Balanced inequality ratio P =0.235 452
Left balanced inequality ratio P1 =0.174 575
Right balanced inequality ratio P2 =0.332 140
Relative edge distribution entropy Her =0.844 046
Power law exponent γ =5.878 53
Tail power law exponent γt =2.801 00
Tail power law exponent with p γ3 =2.801 00
p-value p =0.019 000 0
Left tail power law exponent with p γ3,1 =2.171 00
Left p-value p1 =0.175 000
Right tail power law exponent with p γ3,2 =3.501 00
Right p-value p2 =0.009 000 00
Degree assortativity ρ =−0.196 456
Degree assortativity p-value pρ =4.367 48 × 10−7
Spectral norm α =70.649 0
Algebraic connectivity a =0.005 321 30
Spectral separation 1[A] / λ2[A]| =1.598 66
Controllability C =436
Relative controllability Cr =0.627 338

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.