Wikipedia edits (zh-classical)
This is the bipartite edit network of the Classical Chinese Wikipedia. It
contains users and pages from the Classical Chinese Wikipedia, connected by
edit events. Each edge represents an edit. The dataset includes the timestamp
of each edit.
Metadata
Statistics
Size | n = | 74,548
|
Left size | n1 = | 2,704
|
Right size | n2 = | 71,844
|
Volume | m = | 249,971
|
Unique edge count | m̿ = | 131,646
|
Wedge count | s = | 1,244,193,184
|
Claw count | z = | 18,643,679,053,166
|
Cross count | x = | 222,535,717,042,248,032
|
Square count | q = | 88,760,936
|
4-Tour count | T4 = | 5,687,165,388
|
Maximum degree | dmax = | 48,096
|
Maximum left degree | d1max = | 48,096
|
Maximum right degree | d2max = | 3,815
|
Average degree | d = | 6.706 31
|
Average left degree | d1 = | 92.444 9
|
Average right degree | d2 = | 3.479 36
|
Fill | p = | 0.000 677 658
|
Average edge multiplicity | m̃ = | 1.898 81
|
Size of LCC | N = | 72,979
|
Diameter | δ = | 14
|
50-Percentile effective diameter | δ0.5 = | 3.068 00
|
90-Percentile effective diameter | δ0.9 = | 3.888 27
|
Median distance | δM = | 4
|
Mean distance | δm = | 3.165 26
|
Gini coefficient | G = | 0.830 501
|
Balanced inequality ratio | P = | 0.141 126
|
Left balanced inequality ratio | P1 = | 0.061 827 2
|
Right balanced inequality ratio | P2 = | 0.221 494
|
Relative edge distribution entropy | Her = | 0.695 753
|
Power law exponent | γ = | 4.834 68
|
Tail power law exponent | γt = | 2.581 00
|
Tail power law exponent with p | γ3 = | 2.581 00
|
p-value | p = | 0.000 00
|
Left tail power law exponent with p | γ3,1 = | 1.701 00
|
Left p-value | p1 = | 0.000 00
|
Right tail power law exponent with p | γ3,2 = | 5.871 00
|
Right p-value | p2 = | 0.983 000
|
Degree assortativity | ρ = | −0.414 471
|
Degree assortativity p-value | pρ = | 0.000 00
|
Spectral norm | α = | 3,838.53
|
Algebraic connectivity | a = | 0.044 064 7
|
Spectral separation | |λ1[A] / λ2[A]| = | 4.166 99
|
Controllability | C = | 69,341
|
Relative controllability | Cr = | 0.935 195
|
Plots
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.
|