Wikipedia edits (ks)

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

Metadata

Codeks
Internal nameedit-kswiki
NameWikipedia edits (ks)
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 =2,134
Left size n1 =567
Right size n2 =1,567
Volume m =6,470
Unique edge count m̿ =3,397
Wedge count s =114,297
Claw count z =4,167,577
Cross count x =147,506,856
Square count q =76,196
4-Tour count T4 =1,074,574
Maximum degree dmax =299
Maximum left degree d1max =299
Maximum right degree d2max =235
Average degree d =6.063 73
Average left degree d1 =11.410 9
Average right degree d2 =4.128 91
Fill p =0.003 823 35
Average edge multiplicity m̃ =1.904 62
Size of LCC N =1,540
Diameter δ =15
50-Percentile effective diameter δ0.5 =4.221 55
90-Percentile effective diameter δ0.9 =6.895 60
Median distance δM =5
Mean distance δm =4.957 38
Gini coefficient G =0.743 593
Balanced inequality ratio P =0.197 450
Left balanced inequality ratio P1 =0.156 414
Right balanced inequality ratio P2 =0.236 321
Relative edge distribution entropy Her =0.852 522
Power law exponent γ =3.126 29
Tail power law exponent γt =2.131 00
Tail power law exponent with p γ3 =2.131 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.841 00
Left p-value p1 =0.711 000
Right tail power law exponent with p γ3,2 =2.301 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.212 686
Degree assortativity p-value pρ =4.788 93 × 10−36
Spectral norm α =102.594
Algebraic connectivity a =0.018 075 1

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.