Wikiquote edits (id)

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

Metadata

Codeqid
Internal nameedit-idwikisource
NameWikiquote edits (id)
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 =10,063
Left size n1 =504
Right size n2 =9,559
Volume m =25,631
Unique edge count m̿ =13,262
Wedge count s =7,284,904
Claw count z =5,300,738,320
Cross count x =3,447,158,269,504
Square count q =435,713
4-Tour count T4 =32,672,212
Maximum degree dmax =6,465
Maximum left degree d1max =6,465
Maximum right degree d2max =611
Average degree d =5.094 11
Average left degree d1 =50.855 2
Average right degree d2 =2.681 35
Fill p =0.002 752 75
Average edge multiplicity m̃ =1.932 66
Size of LCC N =8,539
Diameter δ =13
50-Percentile effective diameter δ0.5 =3.484 98
90-Percentile effective diameter δ0.9 =5.301 51
Median distance δM =4
Mean distance δm =3.971 23
Gini coefficient G =0.744 561
Balanced inequality ratio P =0.209 180
Left balanced inequality ratio P1 =0.080 176 3
Right balanced inequality ratio P2 =0.307 947
Relative edge distribution entropy Her =0.753 518
Power law exponent γ =3.890 99
Tail power law exponent γt =3.071 00
Tail power law exponent with p γ3 =3.071 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.701 00
Left p-value p1 =0.268 000
Right tail power law exponent with p γ3,2 =3.561 00
Right p-value p2 =0.004 000 00
Degree assortativity ρ =−0.119 181
Degree assortativity p-value pρ =3.716 13 × 10−43
Algebraic connectivity a =0.029 002 0
Controllability C =8,043
Relative controllability Cr =0.896 056

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.