Wikinews edits (tr)

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

Metadata

Codentr
Internal nameedit-trwikinews
NameWikinews edits (tr)
Data sourcehttp://dumps.wikimedia.org/
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Category
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

Statistics

Size n =10,072
Left size n1 =495
Right size n2 =9,577
Volume m =235,204
Unique edge count m̿ =17,249
Wedge count s =14,193,429
Claw count z =15,661,649,293
Cross count x =14,972,196,566,317
Square count q =1,383,464
4-Tour count T4 =67,880,182
Maximum degree dmax =192,758
Maximum left degree d1max =192,758
Maximum right degree d2max =191,789
Average degree d =46.704 5
Average left degree d1 =475.160
Average right degree d2 =24.559 3
Fill p =0.003 638 56
Average edge multiplicity m̃ =13.635 8
Size of LCC N =9,777
Diameter δ =10
50-Percentile effective diameter δ0.5 =3.327 16
90-Percentile effective diameter δ0.9 =3.973 98
Median distance δM =4
Mean distance δm =3.562 79
Gini coefficient G =0.965 081
Balanced inequality ratio P =0.052 256 8
Left balanced inequality ratio P1 =0.027 002 1
Right balanced inequality ratio P2 =0.086 899 0
Relative edge distribution entropy Her =0.740 023
Power law exponent γ =3.461 74
Tail power law exponent γt =2.491 00
Tail power law exponent with p γ3 =2.491 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.641 00
Left p-value p1 =0.569 000
Right tail power law exponent with p γ3,2 =3.991 00
Right p-value p2 =0.005 000 00
Degree assortativity ρ =−0.270 005
Degree assortativity p-value pρ =0.000 00
Spectral norm α =191,724
Algebraic connectivity a =0.050 047 2

Plots

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

Downloads

References

[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. http://dumps.wikimedia.org/, January 2010.