Wikinews edits (pl)

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


Internal nameedit-plwikinews
NameWikinews edits (pl)
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 =43,407
Left size n1 =1,572
Right size n2 =41,835
Volume m =192,332
Unique edge count m̿ =109,218
Wedge count s =417,806,646
Claw count z =2,745,638,288,273
Cross count x =16,224,827,432,729,264
Square count q =86,897,339
4-Tour count T4 =2,366,646,836
Maximum degree dmax =36,840
Maximum left degree d1max =36,840
Maximum right degree d2max =2,510
Average degree d =8.861 80
Average left degree d1 =122.349
Average right degree d2 =4.597 39
Fill p =0.001 660 74
Average edge multiplicity m̃ =1.760 99
Size of LCC N =42,931
Diameter δ =10
50-Percentile effective diameter δ0.5 =3.263 88
90-Percentile effective diameter δ0.9 =3.924 18
Median distance δM =4
Mean distance δm =3.430 64
Gini coefficient G =0.772 371
Balanced inequality ratio P =0.203 840
Left balanced inequality ratio P1 =0.067 648 6
Right balanced inequality ratio P2 =0.295 006
Relative edge distribution entropy Her =0.733 291
Power law exponent γ =2.390 54
Tail power law exponent γt =3.621 00
Degree assortativity ρ =−0.153 878
Degree assortativity p-value pρ =0.000 00
Spectral norm α =2,225.95
Algebraic connectivity a =0.040 858 7


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.