Wikipedia edits (cr)

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

Metadata

Codecr
Internal nameedit-crwiki
NameWikipedia edits (cr)
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 =3,322
Left size n1 =1,188
Right size n2 =2,134
Volume m =22,700
Unique edge count m̿ =9,554
Wedge count s =627,357
Claw count z =45,525,555
Cross count x =3,824,843,026
Square count q =1,546,661
4-Tour count T4 =14,907,168
Maximum degree dmax =1,332
Maximum left degree d1max =1,332
Maximum right degree d2max =248
Average degree d =13.666 5
Average left degree d1 =19.107 7
Average right degree d2 =10.637 3
Fill p =0.003 768 55
Average edge multiplicity m̃ =2.375 97
Size of LCC N =2,649
Diameter δ =15
50-Percentile effective diameter δ0.5 =3.854 62
90-Percentile effective diameter δ0.9 =6.337 53
Median distance δM =4
Mean distance δm =4.739 54
Gini coefficient G =0.801 581
Balanced inequality ratio P =0.167 181
Left balanced inequality ratio P1 =0.120 837
Right balanced inequality ratio P2 =0.163 392
Relative edge distribution entropy Her =0.831 951
Power law exponent γ =2.392 24
Tail power law exponent γt =1.861 00
Tail power law exponent with p γ3 =1.861 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.851 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =1.861 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.117 696
Degree assortativity p-value pρ =8.029 60 × 10−31
Spectral norm α =231.599
Algebraic connectivity a =0.009 234 94
Spectral separation 1[A] / λ2[A]| =1.821 18
Controllability C =1,758
Relative controllability Cr =0.539 595

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.