Wikinews edits (pt)

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


Internal nameedit-ptwikinews
NameWikinews edits (pt)
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 =42,449
Left size n1 =2,149
Right size n2 =40,300
Volume m =247,874
Unique edge count m̿ =97,313
Wedge count s =186,152,917
Claw count z =434,810,437,672
Cross count x =984,082,071,481,929
Square count q =40,242,460
4-Tour count T4 =1,066,749,158
Maximum degree dmax =65,524
Maximum left degree d1max =65,524
Maximum right degree d2max =63,650
Average degree d =11.678 7
Average left degree d1 =115.344
Average right degree d2 =6.150 72
Fill p =0.001 123 65
Average edge multiplicity m̃ =2.547 18
Size of LCC N =41,024
Diameter δ =13
50-Percentile effective diameter δ0.5 =3.440 57
90-Percentile effective diameter δ0.9 =4.203 56
Median distance δM =4
Mean distance δm =3.788 66
Gini coefficient G =0.812 939
Balanced inequality ratio P =0.178 581
Left balanced inequality ratio P1 =0.041 440 4
Right balanced inequality ratio P2 =0.265 671
Relative edge distribution entropy Her =0.741 280
Power law exponent γ =2.459 94
Tail power law exponent γt =3.291 00
Tail power law exponent with p γ3 =3.291 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.801 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =3.811 00
Right p-value p2 =0.055 000 0
Degree assortativity ρ =−0.177 779
Degree assortativity p-value pρ =0.000 00
Spectral norm α =63,607.7
Algebraic connectivity a =0.051 412 5


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.