Wikinews edits (ta)

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


Internal nameedit-tawikinews
NameWikinews edits (ta)
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 =14,005
Left size n1 =451
Right size n2 =13,554
Volume m =44,804
Unique edge count m̿ =23,812
Wedge count s =42,806,883
Claw count z =78,580,487,753
Cross count x =115,335,987,205,563
Square count q =6,165,549
4-Tour count T4 =220,600,976
Maximum degree dmax =14,572
Maximum left degree d1max =14,572
Maximum right degree d2max =462
Average degree d =6.398 29
Average left degree d1 =99.343 7
Average right degree d2 =3.305 59
Fill p =0.003 895 40
Average edge multiplicity m̃ =1.881 57
Size of LCC N =13,581
Diameter δ =13
50-Percentile effective diameter δ0.5 =3.118 95
90-Percentile effective diameter δ0.9 =3.920 38
Median distance δM =4
Mean distance δm =3.241 91
Gini coefficient G =0.732 123
Balanced inequality ratio P =0.220 996
Left balanced inequality ratio P1 =0.050 553 5
Right balanced inequality ratio P2 =0.312 271
Relative edge distribution entropy Her =0.701 950
Power law exponent γ =3.420 09
Tail power law exponent γt =3.221 00
Tail power law exponent with p γ3 =3.221 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.591 00
Left p-value p1 =0.536 000
Right tail power law exponent with p γ3,2 =6.511 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.290 441
Degree assortativity p-value pρ =0.000 00
Spectral norm α =966.594
Algebraic connectivity a =0.023 921 0
Spectral separation 1[A] / λ2[A]| =4.664 67
Controllability C =13,049
Relative controllability Cr =0.937 496


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.