Wikiquote edits (pt)

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

Metadata

Codeqpt
Internal nameedit-ptwikiquote
NameWikiquote edits (pt)
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 =30,579
Left size n1 =2,920
Right size n2 =27,659
Volume m =124,568
Unique edge count m̿ =73,968
Wedge count s =208,395,027
Claw count z =1,066,040,037,854
Cross count x =4,764,955,486,590,235
Square count q =46,380,687
4-Tour count T4 =1,204,865,500
Maximum degree dmax =38,810
Maximum left degree d1max =38,810
Maximum right degree d2max =564
Average degree d =8.147 29
Average left degree d1 =42.660 3
Average right degree d2 =4.503 71
Fill p =0.000 915 850
Average edge multiplicity m̃ =1.684 08
Size of LCC N =29,664
Diameter δ =10
50-Percentile effective diameter δ0.5 =1.996 74
90-Percentile effective diameter δ0.9 =3.813 65
Median distance δM =2
Mean distance δm =2.891 45
Gini coefficient G =0.802 457
Balanced inequality ratio P =0.172 360
Left balanced inequality ratio P1 =0.078 800 3
Right balanced inequality ratio P2 =0.248 242
Relative edge distribution entropy Her =0.738 054
Power law exponent γ =2.640 46
Tail power law exponent γt =2.331 00
Tail power law exponent with p γ3 =2.331 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.851 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =4.621 00
Right p-value p2 =0.935 000
Degree assortativity ρ =−0.247 713
Degree assortativity p-value pρ =0.000 00
Spectral norm α =730.736
Algebraic connectivity a =0.046 788 2

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.