Wikipedia edits (ch)

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


Internal nameedit-chwiki
NameWikipedia edits (ch)
Data source
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
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


Size n =2,943
Left size n1 =708
Right size n2 =2,235
Volume m =12,452
Unique edge count m̿ =5,960
Wedge count s =317,943
Claw count z =22,075,192
Cross count x =1,920,950,028
Square count q =476,291
4-Tour count T4 =5,095,232
Maximum degree dmax =828
Maximum left degree d1max =828
Maximum right degree d2max =254
Average degree d =8.462 11
Average left degree d1 =17.587 6
Average right degree d2 =5.571 36
Fill p =0.003 766 48
Average edge multiplicity m̃ =2.089 26
Size of LCC N =1,997
Diameter δ =14
50-Percentile effective diameter δ0.5 =5.029 61
90-Percentile effective diameter δ0.9 =7.438 16
Median distance δM =6
Mean distance δm =5.397 56
Gini coefficient G =0.820 300
Balanced inequality ratio P =0.146 201
Left balanced inequality ratio P1 =0.129 056
Right balanced inequality ratio P2 =0.169 210
Relative edge distribution entropy Her =0.827 823
Power law exponent γ =2.924 49
Tail power law exponent γt =2.851 00
Tail power law exponent with p γ3 =2.851 00
p-value p =0.276 000
Left tail power law exponent with p γ3,1 =1.771 00
Left p-value p1 =0.001 000 00
Right tail power law exponent with p γ3,2 =2.241 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.268 541
Degree assortativity p-value pρ =5.628 18 × 10−99
Spectral norm α =163.863
Algebraic connectivity a =0.004 366 72
Spectral separation 1[A] / λ2[A]| =1.215 70
Controllability C =1,393
Relative controllability Cr =0.518 036


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



[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., January 2010.