Wikinews edits (fr)

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


Internal nameedit-frwikinews
NameWikinews edits (fr)
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 =63,443
Left size n1 =3,773
Right size n2 =59,670
Volume m =703,608
Unique edge count m̿ =158,007
Wedge count s =550,186,208
Claw count z =3,268,862,544,299
Square count q =120,778,887
4-Tour count T4 =3,167,386,562
Maximum degree dmax =221,532
Maximum left degree d1max =221,532
Maximum right degree d2max =199,989
Average degree d =22.180 8
Average left degree d1 =186.485
Average right degree d2 =11.791 7
Fill p =0.000 701 833
Average edge multiplicity m̃ =4.453 02
Size of LCC N =62,492
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.399 20
90-Percentile effective diameter δ0.9 =3.991 53
Median distance δM =4
Mean distance δm =3.716 18
Gini coefficient G =0.872 229
Balanced inequality ratio P =0.145 479
Left balanced inequality ratio P1 =0.040 785 5
Right balanced inequality ratio P2 =0.214 338
Relative edge distribution entropy Her =0.743 957
Power law exponent γ =2.432 01
Tail power law exponent γt =3.041 00
Tail power law exponent with p γ3 =3.041 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.701 00
Left p-value p1 =0.486 000
Right tail power law exponent with p γ3,2 =4.131 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.150 422
Degree assortativity p-value pρ =0.000 00
Spectral norm α =200,570
Algebraic connectivity a =0.030 652 6
Spectral separation 1[A] / λ2[A]| =10.478 3
Controllability C =57,096
Relative controllability Cr =0.901 905


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

Delaunay graph drawing

Edge weight/multiplicity distribution

Temporal distribution

Temporal hop distribution

Diameter/density evolution

Inter-event distribution

Node-level inter-event distribution

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.