Wikipedia edits (si)

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

Metadata

Codesi
Internal nameedit-siwiki
NameWikipedia edits (si)
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 =66,095
Left size n1 =3,945
Right size n2 =62,150
Volume m =343,632
Unique edge count m̿ =140,689
Wedge count s =341,159,414
Claw count z =1,173,658,924,192
Square count q =62,994,873
4-Tour count T4 =1,868,909,542
Maximum degree dmax =46,782
Maximum left degree d1max =46,782
Maximum right degree d2max =921
Average degree d =10.398 1
Average left degree d1 =87.105 7
Average right degree d2 =5.529 07
Fill p =0.000 573 815
Average edge multiplicity m̃ =2.442 49
Size of LCC N =63,414
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.420 70
90-Percentile effective diameter δ0.9 =3.954 77
Median distance δM =4
Mean distance δm =3.767 40
Gini coefficient G =0.830 322
Balanced inequality ratio P =0.156 970
Left balanced inequality ratio P1 =0.088 984 7
Right balanced inequality ratio P2 =0.221 737
Relative edge distribution entropy Her =0.741 494
Power law exponent γ =3.045 41
Tail power law exponent γt =2.381 00
Tail power law exponent with p γ3 =2.381 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.791 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =2.461 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.291 275
Degree assortativity p-value pρ =0.000 00
Spectral norm α =1,404.23
Algebraic connectivity a =0.041 882 9

Plots

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

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.