Wikinews edits (ca)

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


Internal nameedit-cawikinews
NameWikinews edits (ca)
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 =11,942
Left size n1 =818
Right size n2 =11,124
Volume m =125,869
Unique edge count m̿ =28,593
Wedge count s =33,049,321
Claw count z =43,838,339,691
Cross count x =49,146,079,396,784
Square count q =10,222,278
4-Tour count T4 =214,062,578
Maximum degree dmax =62,477
Maximum left degree d1max =62,477
Maximum right degree d2max =61,300
Average degree d =21.080 1
Average left degree d1 =153.874
Average right degree d2 =11.315 1
Fill p =0.003 142 28
Average edge multiplicity m̃ =4.402 09
Size of LCC N =11,614
Diameter δ =10
50-Percentile effective diameter δ0.5 =3.125 98
90-Percentile effective diameter δ0.9 =3.924 18
Median distance δM =4
Mean distance δm =3.254 84
Gini coefficient G =0.873 556
Balanced inequality ratio P =0.138 982
Left balanced inequality ratio P1 =0.040 748 7
Right balanced inequality ratio P2 =0.209 098
Relative edge distribution entropy Her =0.737 244
Power law exponent γ =2.426 19
Tail power law exponent γt =2.841 00
Tail power law exponent with p γ3 =2.841 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.751 00
Left p-value p1 =0.124 000
Right tail power law exponent with p γ3,2 =5.381 00
Right p-value p2 =0.072 000 0
Degree assortativity ρ =−0.286 644
Degree assortativity p-value pρ =0.000 00
Spectral norm α =61,293.0
Algebraic connectivity a =0.039 669 5
Spectral separation 1[A] / λ2[A]| =76.128 9
Controllability C =10,700
Relative controllability Cr =0.896 899


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.