Wikipedia edits (mt)

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


Internal nameedit-mtwiki
NameWikipedia edits (mt)
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 =16,594
Left size n1 =1,746
Right size n2 =14,848
Volume m =190,769
Unique edge count m̿ =66,256
Wedge count s =67,967,670
Claw count z =91,250,780,048
Cross count x =126,057,812,173,885
Square count q =104,630,141
4-Tour count T4 =1,109,063,848
Maximum degree dmax =22,886
Maximum left degree d1max =22,886
Maximum right degree d2max =1,031
Average degree d =22.992 5
Average left degree d1 =109.261
Average right degree d2 =12.848 1
Fill p =0.002 555 72
Average edge multiplicity m̃ =2.879 27
Size of LCC N =15,753
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.257 97
90-Percentile effective diameter δ0.9 =4.020 73
Median distance δM =4
Mean distance δm =3.526 54
Gini coefficient G =0.855 305
Balanced inequality ratio P =0.150 905
Left balanced inequality ratio P1 =0.049 148 4
Right balanced inequality ratio P2 =0.194 691
Relative edge distribution entropy Her =0.751 747
Power law exponent γ =2.177 22
Tail power law exponent γt =1.761 00
Degree assortativity ρ =−0.313 500
Degree assortativity p-value pρ =0.000 00
Spectral norm α =1,181.14
Algebraic connectivity a =0.047 299 4


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



[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.