Wikipedia edits (io)

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

Metadata

Codeio
Internal nameedit-iowiki
NameWikipedia edits (io)
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 =43,718
Left size n1 =2,797
Right size n2 =40,921
Volume m =863,473
Unique edge count m̿ =424,078
Wedge count s =2,354,915,543
Claw count z =13,665,461,973,792
Cross count x =69,853,069,214,684,440
Square count q =7,567,877,905
4-Tour count T4 =69,963,554,720
Maximum degree dmax =65,098
Maximum left degree d1max =65,098
Maximum right degree d2max =819
Average degree d =39.501 9
Average left degree d1 =308.714
Average right degree d2 =21.101 0
Fill p =0.003 705 16
Average edge multiplicity m̃ =2.036 12
Size of LCC N =42,747
Diameter δ =15
50-Percentile effective diameter δ0.5 =1.903 22
90-Percentile effective diameter δ0.9 =3.773 08
Median distance δM =2
Mean distance δm =2.821 59
Gini coefficient G =0.793 301
Balanced inequality ratio P =0.193 059
Left balanced inequality ratio P1 =0.025 194 8
Right balanced inequality ratio P2 =0.270 761
Relative edge distribution entropy Her =0.739 815
Power law exponent γ =1.579 42
Tail power law exponent γt =3.631 00
Tail power law exponent with p γ3 =3.631 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.721 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =8.911 00
Right p-value p2 =0.041 000 0
Degree assortativity ρ =−0.283 691
Degree assortativity p-value pρ =0.000 00
Spectral norm α =1,420.36
Algebraic connectivity a =0.030 116 8

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

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.