Wikinews edits (ja)

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


Internal nameedit-jawikinews
NameWikinews edits (ja)
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 =26,220
Left size n1 =1,142
Right size n2 =25,078
Volume m =132,830
Unique edge count m̿ =64,370
Wedge count s =111,882,862
Claw count z =269,254,820,897
Cross count x =623,542,759,745,365
Square count q =25,231,940
4-Tour count T4 =649,530,308
Maximum degree dmax =21,651
Maximum left degree d1max =21,651
Maximum right degree d2max =2,060
Average degree d =10.132 0
Average left degree d1 =116.313
Average right degree d2 =5.296 67
Fill p =0.002 247 63
Average edge multiplicity m̃ =2.063 54
Size of LCC N =25,562
Diameter δ =14
50-Percentile effective diameter δ0.5 =3.334 13
90-Percentile effective diameter δ0.9 =3.939 34
Median distance δM =4
Mean distance δm =3.552 15
Gini coefficient G =0.745 091
Balanced inequality ratio P =0.218 196
Left balanced inequality ratio P1 =0.055 040 3
Right balanced inequality ratio P2 =0.313 709
Relative edge distribution entropy Her =0.742 787
Power law exponent γ =2.311 99
Tail power law exponent γt =1.561 00
Tail power law exponent with p γ3 =1.561 00
p-value p =0.121 000
Left tail power law exponent with p γ3,1 =1.661 00
Left p-value p1 =0.003 000 00
Right tail power law exponent with p γ3,2 =4.881 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.168 243
Degree assortativity p-value pρ =0.000 00
Spectral norm α =1,057.97
Algebraic connectivity a =0.027 756 4
Spectral separation 1[A] / λ2[A]| =1.030 19
Controllability C =24,011
Relative controllability Cr =0.917 326


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

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.