Wikinews edits (he)

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


Internal nameedit-hewikinews
NameWikinews edits (he)
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 =4,946
Left size n1 =566
Right size n2 =4,380
Volume m =23,441
Unique edge count m̿ =9,673
Wedge count s =2,798,399
Claw count z =1,201,906,534
Cross count x =443,420,177,485
Square count q =305,738
4-Tour count T4 =13,676,154
Maximum degree dmax =5,427
Maximum left degree d1max =5,427
Maximum right degree d2max =1,000
Average degree d =9.478 77
Average left degree d1 =41.415 2
Average right degree d2 =5.351 83
Fill p =0.003 901 85
Average edge multiplicity m̃ =2.423 34
Size of LCC N =4,624
Diameter δ =13
50-Percentile effective diameter δ0.5 =3.393 90
90-Percentile effective diameter δ0.9 =4.843 00
Median distance δM =4
Mean distance δm =3.783 59
Gini coefficient G =0.757 768
Balanced inequality ratio P =0.208 502
Left balanced inequality ratio P1 =0.103 835
Right balanced inequality ratio P2 =0.299 561
Relative edge distribution entropy Her =0.791 838
Power law exponent γ =2.668 76
Tail power law exponent γt =2.511 00
Tail power law exponent with p γ3 =2.511 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.671 00
Left p-value p1 =0.744 000
Right tail power law exponent with p γ3,2 =3.051 00
Right p-value p2 =0.006 000 00
Degree assortativity ρ =−0.202 830
Degree assortativity p-value pρ =2.390 96 × 10−90
Spectral norm α =715.903
Algebraic connectivity a =0.018 282 9
Spectral separation 1[A] / λ2[A]| =2.288 09
Controllability C =3,975
Relative controllability Cr =0.806 779


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.