Wikiquote edits (zh-min-nan)

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

Metadata

Codeqzh-min-nan
Internal nameedit-zh_min_nanwikiquote
NameWikiquote 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 =550
Left size n1 =106
Right size n2 =444
Volume m =938
Unique edge count m̿ =620
Wedge count s =16,481
Claw count z =626,009
Cross count x =20,981,706
Square count q =1,073
4-Tour count T4 =75,808
Maximum degree dmax =160
Maximum left degree d1max =160
Maximum right degree d2max =37
Average degree d =3.410 91
Average left degree d1 =8.849 06
Average right degree d2 =2.112 61
Fill p =0.013 173 6
Average edge multiplicity m̃ =1.512 90
Size of LCC N =375
Diameter δ =16
50-Percentile effective diameter δ0.5 =6.588 28
90-Percentile effective diameter δ0.9 =8.899 46
Median distance δM =7
Mean distance δm =6.020 21
Gini coefficient G =0.677 392
Relative edge distribution entropy Her =0.850 177
Power law exponent γ =4.188 69
Tail power law exponent γt =2.431 00
Degree assortativity ρ =−0.308 152
Degree assortativity p-value pρ =4.185 98 × 10−15
Spectral norm α =37.229 0
Algebraic connectivity a =0.002 972 10

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.