Wikipedia edits (lo)

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

Metadata

Codelo
Internal nameedit-lowiki
NameWikipedia edits (lo)
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 =8,990
Left size n1 =1,075
Right size n2 =7,915
Volume m =46,786
Unique edge count m̿ =21,343
Wedge count s =5,439,642
Claw count z =2,036,746,001
Cross count x =795,013,871,684
Square count q =6,040,444
4-Tour count T4 =70,134,222
Maximum degree dmax =3,962
Maximum left degree d1max =3,962
Maximum right degree d2max =260
Average degree d =10.408 5
Average left degree d1 =43.521 9
Average right degree d2 =5.911 05
Fill p =0.002 508 40
Average edge multiplicity m̃ =2.192 10
Size of LCC N =7,495
Diameter δ =13
50-Percentile effective diameter δ0.5 =3.576 64
90-Percentile effective diameter δ0.9 =5.463 55
Median distance δM =4
Mean distance δm =4.159 14
Gini coefficient G =0.845 247
Balanced inequality ratio P =0.137 402
Left balanced inequality ratio P1 =0.091 288 0
Right balanced inequality ratio P2 =0.193 135
Relative edge distribution entropy Her =0.782 025
Power law exponent γ =2.861 14
Tail power law exponent γt =2.041 00
Tail power law exponent with p γ3 =2.041 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.711 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =2.121 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.321 104
Degree assortativity p-value pρ =0.000 00
Spectral norm α =303.300
Algebraic connectivity a =0.024 863 8
Spectral separation 1[A] / λ2[A]| =1.268 08
Controllability C =6,254
Relative controllability Cr =0.757 051

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.