Wikipedia edits (vec)

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

Metadata

Codevec
Internal nameedit-vecwiki
NameWikipedia edits (vec)
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 =35,868
Left size n1 =2,282
Right size n2 =33,586
Volume m =540,090
Unique edge count m̿ =247,225
Wedge count s =598,332,548
Claw count z =1,453,341,425,736
Square count q =2,309,388,500
4-Tour count T4 =20,868,984,590
Maximum degree dmax =45,325
Maximum left degree d1max =45,325
Maximum right degree d2max =1,741
Average degree d =30.115 4
Average left degree d1 =236.674
Average right degree d2 =16.080 8
Fill p =0.003 225 66
Average edge multiplicity m̃ =2.184 61
Size of LCC N =34,653
Diameter δ =10
50-Percentile effective diameter δ0.5 =3.325 36
90-Percentile effective diameter δ0.9 =4.252 77
Median distance δM =4
Mean distance δm =3.569 65
Gini coefficient G =0.849 247
Balanced inequality ratio P =0.159 868
Left balanced inequality ratio P1 =0.039 678 6
Right balanced inequality ratio P2 =0.208 699
Relative edge distribution entropy Her =0.742 267
Power law exponent γ =1.856 57
Tail power law exponent γt =3.591 00
Tail power law exponent with p γ3 =3.591 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.671 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =6.971 00
Right p-value p2 =0.279 000
Degree assortativity ρ =−0.125 749
Degree assortativity p-value pρ =0.000 00
Spectral norm α =1,145.91
Algebraic connectivity a =0.110 997

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.