Wikipedia edits (tl)

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

Metadata

Codetl
Internal nameedit-tlwiki
NameWikipedia edits (tl)
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 =227,374
Left size n1 =7,351
Right size n2 =220,023
Volume m =1,372,133
Unique edge count m̿ =762,724
Wedge count s =10,715,382,386
Claw count z =237,121,209,606,196
Cross count x =5,259,426,075,451,676,672
Square count q =7,631,676,397
4-Tour count T4 =103,916,486,088
Maximum degree dmax =171,129
Maximum left degree d1max =171,129
Maximum right degree d2max =7,097
Average degree d =12.069 4
Average left degree d1 =186.659
Average right degree d2 =6.236 32
Average edge multiplicity m̃ =1.798 99
Size of LCC N =224,381
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.226 42
90-Percentile effective diameter δ0.9 =3.875 33
Median distance δM =4
Mean distance δm =3.348 30
Gini coefficient G =0.850 553
Balanced inequality ratio P =0.147 437
Left balanced inequality ratio P1 =0.030 559 0
Right balanced inequality ratio P2 =0.207 297
Relative edge distribution entropy Her =0.701 281
Power law exponent γ =2.493 57
Tail power law exponent with p γ3 =1.901 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.531 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =5.531 00
Right p-value p2 =0.012 000 0
Degree assortativity ρ =−0.349 472
Degree assortativity p-value pρ =0.000 00
Spectral norm α =7,106.56
Algebraic connectivity a =0.082 783 7
Spectral separation |λ1[A] / λ2[A]| =2.453 06
Controllability C =212,917
Relative controllability Cr =0.943 016

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

Delaunay graph drawing

Edge weight/multiplicity distribution

Temporal 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.