Wikibooks edits (sv)

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

Metadata

Codebsv
Internal nameedit-svwikibooks
NameWikibooks edits (sv)
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 =7,094
Left size n1 =989
Right size n2 =6,105
Volume m =30,924
Unique edge count m̿ =12,321
Wedge count s =3,023,661
Claw count z =973,740,776
Cross count x =270,132,779,223
Square count q =401,801
4-Tour count T4 =15,340,662
Maximum degree dmax =3,053
Maximum left degree d1max =3,053
Maximum right degree d2max =550
Average degree d =8.718 35
Average left degree d1 =31.267 9
Average right degree d2 =5.065 36
Fill p =0.002 040 63
Average edge multiplicity m̃ =2.509 86
Size of LCC N =6,620
Diameter δ =12
50-Percentile effective diameter δ0.5 =3.549 10
90-Percentile effective diameter δ0.9 =4.927 52
Median distance δM =4
Mean distance δm =4.040 97
Gini coefficient G =0.788 226
Balanced inequality ratio P =0.184 549
Left balanced inequality ratio P1 =0.107 619
Right balanced inequality ratio P2 =0.255 077
Relative edge distribution entropy Her =0.803 073
Power law exponent γ =2.865 95
Tail power law exponent γt =2.581 00
Tail power law exponent with p γ3 =2.581 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.811 00
Left p-value p1 =0.428 000
Right tail power law exponent with p γ3,2 =2.901 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.182 198
Degree assortativity p-value pρ =1.935 04 × 10−92
Spectral norm α =376.689
Algebraic connectivity a =0.027 623 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.