Wikinews edits (it)

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


Internal nameedit-itwikinews
NameWikinews edits (it)
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 =38,179
Left size n1 =2,200
Right size n2 =35,979
Volume m =907,499
Unique edge count m̿ =82,570
Wedge count s =86,384,476
Claw count z =106,306,336,925
Cross count x =114,676,564,381,497
Square count q =13,591,083
4-Tour count T4 =454,434,116
Maximum degree dmax =580,629
Maximum left degree d1max =580,629
Maximum right degree d2max =217,246
Average degree d =47.539 2
Average left degree d1 =412.500
Average right degree d2 =25.223 0
Fill p =0.001 043 16
Average edge multiplicity m̃ =10.990 7
Size of LCC N =37,451
Diameter δ =12
50-Percentile effective diameter δ0.5 =3.554 84
90-Percentile effective diameter δ0.9 =4.845 17
Median distance δM =4
Mean distance δm =4.069 14
Gini coefficient G =0.958 362
Balanced inequality ratio P =0.060 954 9
Left balanced inequality ratio P1 =0.030 277 7
Right balanced inequality ratio P2 =0.099 659 6
Relative edge distribution entropy Her =0.766 041
Power law exponent γ =2.654 67
Tail power law exponent γt =1.771 00
Degree assortativity ρ =−0.150 629
Degree assortativity p-value pρ =0.000 00
Spectral norm α =261,162
Algebraic connectivity a =0.083 513 8


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

Delaunay graph drawing

Edge weight/multiplicity distribution

Temporal 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.