Wikinews edits (ko)

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


Internal nameedit-kowikinews
NameWikinews edits (ko)
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 =3,508
Left size n1 =373
Right size n2 =3,135
Volume m =19,011
Unique edge count m̿ =10,133
Wedge count s =1,914,163
Claw count z =320,758,182
Cross count x =43,585,176,656
Square count q =1,497,629
4-Tour count T4 =19,673,694
Maximum degree dmax =2,151
Maximum left degree d1max =2,151
Maximum right degree d2max =284
Average degree d =10.838 7
Average left degree d1 =50.967 8
Average right degree d2 =6.064 11
Fill p =0.008 665 46
Average edge multiplicity m̃ =1.876 15
Size of LCC N =3,233
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.467 12
90-Percentile effective diameter δ0.9 =5.572 38
Median distance δM =4
Mean distance δm =4.012 53
Gini coefficient G =0.740 028
Balanced inequality ratio P =0.223 134
Left balanced inequality ratio P1 =0.103 309
Right balanced inequality ratio P2 =0.305 402
Relative edge distribution entropy Her =0.796 527
Power law exponent γ =2.098 81
Tail power law exponent γt =1.751 00
Tail power law exponent with p γ3 =1.751 00
p-value p =0.030 000 0
Left tail power law exponent with p γ3,1 =1.601 00
Left p-value p1 =0.812 000
Right tail power law exponent with p γ3,2 =5.501 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.085 100 2
Degree assortativity p-value pρ =9.410 49 × 10−18
Spectral norm α =178.556
Spectral separation 1[A] / λ2[A]| =1.146 60
Controllability C =2,812
Relative controllability Cr =0.804 348


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.