Wikipedia edits (my)

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

Metadata

Codemy
Internal nameedit-mywiki
NameWikipedia edits (my)
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 =74,452
Left size n1 =2,747
Right size n2 =71,705
Volume m =344,419
Unique edge count m̿ =219,554
Wedge count s =1,743,261,347
Claw count z =17,061,011,890,027
Cross count x =143,142,751,049,479,216
Square count q =1,042,547,679
4-Tour count T4 =15,314,006,864
Maximum degree dmax =52,027
Maximum left degree d1max =52,027
Maximum right degree d2max =770
Average degree d =9.252 11
Average left degree d1 =125.380
Average right degree d2 =4.803 28
Fill p =0.001 114 64
Average edge multiplicity m̃ =1.568 72
Size of LCC N =73,364
Diameter δ =12
50-Percentile effective diameter δ0.5 =3.095 45
90-Percentile effective diameter δ0.9 =3.876 84
Median distance δM =4
Mean distance δm =3.187 56
Gini coefficient G =0.785 118
Balanced inequality ratio P =0.187 545
Left balanced inequality ratio P1 =0.045 488 2
Right balanced inequality ratio P2 =0.284 424
Relative edge distribution entropy Her =0.704 531
Power law exponent γ =2.286 30
Tail power law exponent γt =2.931 00
Tail power law exponent with p γ3 =2.931 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.771 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =6.741 00
Right p-value p2 =0.813 000
Degree assortativity ρ =−0.387 735
Degree assortativity p-value pρ =0.000 00
Spectral norm α =838.620
Algebraic connectivity a =0.006 433 99

Plots

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

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.