Wikipedia edits (sq)

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

Metadata

Codesq
Internal nameedit-sqwiki
NameWikipedia edits (sq)
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 =197,191
Left size n1 =14,213
Right size n2 =182,978
Volume m =1,520,527
Unique edge count m̿ =711,144
Wedge count s =3,852,092,478
Claw count z =23,202,023,042,777
Square count q =6,171,156,823
4-Tour count T4 =64,779,314,160
Maximum degree dmax =86,224
Maximum left degree d1max =86,224
Maximum right degree d2max =9,299
Average degree d =15.421 9
Average left degree d1 =106.981
Average right degree d2 =8.309 89
Average edge multiplicity m̃ =2.138 14
Size of LCC N =187,503
Diameter δ =13
50-Percentile effective diameter δ0.5 =3.424 11
90-Percentile effective diameter δ0.9 =3.976 09
Median distance δM =4
Mean distance δm =3.776 95
Gini coefficient G =0.854 785
Balanced inequality ratio P =0.144 646
Left balanced inequality ratio P1 =0.040 705 6
Right balanced inequality ratio P2 =0.204 116
Relative edge distribution entropy Her =0.730 386
Power law exponent γ =2.320 47
Tail power law exponent with p γ3 =1.991 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.941 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =5.861 00
Right p-value p2 =0.526 000
Degree assortativity ρ =−0.163 464
Degree assortativity p-value pρ =0.000 00
Spectral norm α =9,298.27
Algebraic connectivity a =0.018 734 4
Spectral separation 1[A] / λ2[A]| =1.849 01
Controllability C =168,050
Relative controllability Cr =0.873 214

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.