Wiktionary edits (ab)

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

Metadata

Codemab
Internal nameedit-abwiktionary
NameWiktionary edits (ab)
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 =289
Left size n1 =41
Right size n2 =248
Volume m =383
Unique edge count m̿ =276
Wedge count s =7,827
Claw count z =220,366
Cross count x =4,679,773
Square count q =74
4-Tour count T4 =32,796
Maximum degree dmax =176
Maximum left degree d1max =176
Maximum right degree d2max =4
Average degree d =2.650 52
Average left degree d1 =9.341 46
Average right degree d2 =1.544 35
Fill p =0.027 144 0
Average edge multiplicity m̃ =1.387 68
Size of LCC N =170
Diameter δ =4
50-Percentile effective diameter δ0.5 =1.942 46
90-Percentile effective diameter δ0.9 =3.779 73
Median distance δM =2
Mean distance δm =2.900 01
Gini coefficient G =0.589 162
Relative edge distribution entropy Her =0.806 971
Power law exponent γ =6.618 42
Tail power law exponent γt =2.931 00
Degree assortativity ρ =−0.331 248
Degree assortativity p-value pρ =1.719 34 × 10−8
Controllability C =209
Relative controllability Cr =0.723 183

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 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.