Wiktionary edits (zh-min-nan)

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

Metadata

Codemzh-min-nan
Internal nameedit-zh_min_nanwiktionary
NameWiktionary edits (zh-min-nan)
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 =23,748
Left size n1 =321
Right size n2 =23,427
Volume m =151,552
Unique edge count m̿ =85,961
Wedge count s =390,572,891
Claw count z =1,710,279,224,520
Cross count x =6,330,957,305,876,633
Square count q =338,568,834
4-Tour count T4 =4,271,053,594
Maximum degree dmax =26,006
Maximum left degree d1max =26,006
Maximum right degree d2max =209
Average degree d =12.763 3
Average left degree d1 =472.125
Average right degree d2 =6.469 12
Fill p =0.011 430 9
Average edge multiplicity m̃ =1.763 03
Size of LCC N =23,455
Diameter δ =11
50-Percentile effective diameter δ0.5 =1.676 30
90-Percentile effective diameter δ0.9 =3.655 15
Median distance δM =2
Mean distance δm =2.549 80
Gini coefficient G =0.764 891
Balanced inequality ratio P =0.197 262
Left balanced inequality ratio P1 =0.039 940 1
Right balanced inequality ratio P2 =0.292 718
Relative edge distribution entropy Her =0.688 294
Power law exponent γ =1.970 08
Tail power law exponent γt =2.951 00
Tail power law exponent with p γ3 =2.951 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.341 00
Left p-value p1 =0.064 000 0
Right tail power law exponent with p γ3,2 =8.991 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.514 252
Degree assortativity p-value pρ =0.000 00
Spectral norm α =537.534
Algebraic connectivity a =0.039 134 8
Spectral separation 1[A] / λ2[A]| =1.858 83
Controllability C =23,092
Relative controllability Cr =0.974 099

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

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.