Wiktionary edits (hi)

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

Metadata

Codemhi
Internal nameedit-hiwiktionary
NameWiktionary edits (hi)
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 =203,894
Left size n1 =701
Right size n2 =203,193
Volume m =357,938
Unique edge count m̿ =291,776
Wedge count s =14,906,633,267
Claw count z =752,579,042,028,454
Cross count x =3.012 35 × 1019
4-Tour count T4 =64,106,278,324
Maximum degree dmax =163,616
Maximum left degree d1max =163,616
Maximum right degree d2max =191
Average degree d =3.511 02
Average left degree d1 =510.611
Average right degree d2 =1.761 57
Fill p =0.002 048 44
Average edge multiplicity m̃ =1.226 76
Size of LCC N =203,325
Diameter δ =14
50-Percentile effective diameter δ0.5 =1.660 55
90-Percentile effective diameter δ0.9 =3.676 57
Median distance δM =2
Mean distance δm =2.547 74
Gini coefficient G =0.682 598
Balanced inequality ratio P =0.227 813
Left balanced inequality ratio P1 =0.026 655 5
Right balanced inequality ratio P2 =0.360 113
Relative edge distribution entropy Her =0.622 894
Power law exponent γ =5.265 54
Tail power law exponent γt =3.421 00
Tail power law exponent with p γ3 =3.421 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.721 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =3.471 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.538 486
Degree assortativity p-value pρ =0.000 00
Spectral norm α =484.123

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

Edge weight/multiplicity distribution

Temporal distribution

Diameter/density evolution

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.