Wikipedia edits (mg)

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

Metadata

Codemg
Internal nameedit-mgwiki
NameWikipedia edits (mg)
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 =220,064
Left size n1 =1,974
Right size n2 =218,090
Volume m =750,811
Unique edge count m̿ =464,008
Wedge count s =23,785,057,176
Claw count z =1,486,346,704,603,495
Square count q =4,231,826,224
4-Tour count T4 =128,996,231,380
Maximum degree dmax =365,048
Maximum left degree d1max =365,048
Maximum right degree d2max =333
Average degree d =6.823 57
Average left degree d1 =380.350
Average right degree d2 =3.442 67
Fill p =0.001 077 81
Average edge multiplicity m̃ =1.618 10
Size of LCC N =219,186
Diameter δ =12
50-Percentile effective diameter δ0.5 =1.602 03
90-Percentile effective diameter δ0.9 =3.377 65
Median distance δM =2
Mean distance δm =2.349 93
Balanced inequality ratio P =0.170 837
Left balanced inequality ratio P1 =0.023 930 1
Right balanced inequality ratio P2 =0.262 970
Relative edge distribution entropy Her =0.641 961
Power law exponent γ =3.458 21
Tail power law exponent γt =2.231 00
Tail power law exponent with p γ3 =2.231 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.751 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =2.241 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.509 555
Degree assortativity p-value pρ =0.000 00
Spectral norm α =1,166.39
Algebraic connectivity a =0.008 630 13
Spectral separation |λ1[A] / λ2[A]| =2.261 38
Controllability C =216,448
Relative controllability Cr =0.984 311

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.