Wikinews edits (sd)

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


Internal nameedit-sdwikinews
NameWikinews edits (sd)
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 =2,208
Left size n1 =106
Right size n2 =2,102
Volume m =4,069
Unique edge count m̿ =2,753
Wedge count s =1,276,118
Claw count z =600,985,303
Cross count x =224,571,666,148
Square count q =82,324
4-Tour count T4 =5,776,318
Maximum degree dmax =2,495
Maximum left degree d1max =2,495
Maximum right degree d2max =66
Average degree d =3.685 69
Average left degree d1 =38.386 8
Average right degree d2 =1.935 78
Fill p =0.012 355 7
Average edge multiplicity m̃ =1.478 02
Size of LCC N =2,011
Diameter δ =15
50-Percentile effective diameter δ0.5 =1.865 01
90-Percentile effective diameter δ0.9 =5.450 67
Median distance δM =2
Mean distance δm =3.215 22
Gini coefficient G =0.665 201
Balanced inequality ratio P =0.251 905
Left balanced inequality ratio P1 =0.084 050 1
Right balanced inequality ratio P2 =0.374 539
Relative edge distribution entropy Her =0.705 490
Power law exponent γ =4.992 54
Tail power law exponent γt =2.621 00
Tail power law exponent with p γ3 =2.621 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.681 00
Left p-value p1 =0.294 000
Right tail power law exponent with p γ3,2 =5.841 00
Right p-value p2 =0.465 000
Degree assortativity ρ =−0.218 982
Degree assortativity p-value pρ =3.041 95 × 10−31
Spectral norm α =109.703
Algebraic connectivity a =0.004 623 28
Spectral separation 1[A] / λ2[A]| =2.943 52
Controllability C =1,980
Relative controllability Cr =0.909 091


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.