Wikipedia edits (new)

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

Metadata

Codenew
Internal nameedit-newwiki
NameWikipedia edits (new)
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 =197,437
Left size n1 =1,319
Right size n2 =196,118
Volume m =833,293
Unique edge count m̿ =465,172
Wedge count s =15,036,219,561
Claw count z =736,074,663,612,693
Cross count x =2.969 44 × 1019
Square count q =3,499,549,836
4-Tour count T4 =88,142,358,692
Maximum degree dmax =285,124
Maximum left degree d1max =285,124
Maximum right degree d2max =43,096
Average degree d =8.441 10
Average left degree d1 =631.761
Average right degree d2 =4.248 94
Fill p =0.001 798 26
Average edge multiplicity m̃ =1.791 37
Size of LCC N =196,579
Diameter δ =11
50-Percentile effective diameter δ0.5 =1.630 60
90-Percentile effective diameter δ0.9 =3.559 98
Median distance δM =2
Mean distance δm =2.429 49
Gini coefficient G =0.843 371
Balanced inequality ratio P =0.138 621
Left balanced inequality ratio P1 =0.032 704 0
Right balanced inequality ratio P2 =0.223 272
Relative edge distribution entropy Her =0.657 054
Power law exponent γ =3.578 81
Tail power law exponent γt =2.271 00
Degree assortativity ρ =−0.587 209
Degree assortativity p-value pρ =0.000 00
Spectral norm α =45,119.0

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

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.