Wikinews edits (hu)

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


Internal nameedit-huwikinews
NameWikinews edits (hu)
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 =5,541
Left size n1 =318
Right size n2 =5,223
Volume m =27,265
Unique edge count m̿ =10,545
Wedge count s =3,513,436
Claw count z =1,450,627,593
Cross count x =582,607,168,588
Square count q =625,234
4-Tour count T4 =19,084,182
Maximum degree dmax =8,176
Maximum left degree d1max =8,176
Maximum right degree d2max =1,448
Average degree d =9.841 18
Average left degree d1 =85.739 0
Average right degree d2 =5.220 18
Fill p =0.006 348 91
Average edge multiplicity m̃ =2.585 59
Size of LCC N =5,367
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.417 37
90-Percentile effective diameter δ0.9 =4.831 98
Median distance δM =4
Mean distance δm =3.783 27
Gini coefficient G =0.742 824
Balanced inequality ratio P =0.218 907
Left balanced inequality ratio P1 =0.085 604 3
Right balanced inequality ratio P2 =0.316 450
Relative edge distribution entropy Her =0.766 504
Power law exponent γ =2.788 97
Tail power law exponent γt =3.011 00
Tail power law exponent with p γ3 =3.011 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.681 00
Left p-value p1 =0.001 000 00
Right tail power law exponent with p γ3,2 =4.071 00
Right p-value p2 =0.566 000
Degree assortativity ρ =−0.207 667
Degree assortativity p-value pρ =4.456 96 × 10−103
Spectral norm α =1,444.00
Spectral separation 1[A] / λ2[A]| =1.755 81
Controllability C =4,924
Relative controllability Cr =0.889 451


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.