Wiktionary edits (ik)

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

Metadata

Codemik
Internal nameedit-ikwiktionary
NameWiktionary edits (ik)
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 =741
Left size n1 =126
Right size n2 =615
Volume m =1,873
Unique edge count m̿ =1,119
Wedge count s =34,176
Claw count z =982,289
Cross count x =24,885,020
Square count q =19,645
4-Tour count T4 =296,410
Maximum degree dmax =444
Maximum left degree d1max =444
Maximum right degree d2max =46
Average degree d =5.055 33
Average left degree d1 =14.865 1
Average right degree d2 =3.045 53
Fill p =0.014 440 6
Average edge multiplicity m̃ =1.673 82
Size of LCC N =456
Diameter δ =15
50-Percentile effective diameter δ0.5 =5.102 01
90-Percentile effective diameter δ0.9 =7.937 20
Median distance δM =6
Mean distance δm =5.431 25
Gini coefficient G =0.707 050
Balanced inequality ratio P =0.217 032
Left balanced inequality ratio P1 =0.144 154
Right balanced inequality ratio P2 =0.264 282
Relative edge distribution entropy Her =0.834 648
Power law exponent γ =3.123 04
Tail power law exponent γt =2.131 00
Tail power law exponent with p γ3 =2.131 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.701 00
Left p-value p1 =0.854 000
Right tail power law exponent with p γ3,2 =2.311 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.017 797 1
Degree assortativity p-value pρ =0.552 031
Spectral norm α =69.390 2
Algebraic connectivity a =0.014 564 6

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.