Wikiquote edits (de)

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


Internal nameedit-dewikiquote
NameWikiquote edits (de)
Data source
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
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


Size n =24,753
Left size n1 =5,005
Right size n2 =19,748
Volume m =323,207
Unique edge count m̿ =113,039
Wedge count s =136,307,956
Claw count z =184,998,861,619
Cross count x =223,401,316,543,986
Square count q =241,569,649
4-Tour count T4 =2,478,175,386
Maximum degree dmax =45,765
Maximum left degree d1max =45,765
Maximum right degree d2max =2,335
Average degree d =26.114 6
Average left degree d1 =64.576 8
Average right degree d2 =16.366 6
Fill p =0.001 143 67
Average edge multiplicity m̃ =2.859 25
Size of LCC N =23,339
Diameter δ =15
50-Percentile effective diameter δ0.5 =3.121 56
90-Percentile effective diameter δ0.9 =4.414 47
Median distance δM =4
Mean distance δm =3.494 03
Gini coefficient G =0.847 584
Balanced inequality ratio P =0.159 769
Left balanced inequality ratio P1 =0.056 329 2
Right balanced inequality ratio P2 =0.209 717
Relative edge distribution entropy Her =0.769 937
Power law exponent γ =1.924 37
Tail power law exponent γt =2.591 00
Tail power law exponent with p γ3 =2.591 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.841 00
Left p-value p1 =0.014 000 0
Right tail power law exponent with p γ3,2 =4.421 00
Right p-value p2 =0.122 000
Degree assortativity ρ =−0.217 737
Degree assortativity p-value pρ =0.000 00
Spectral norm α =2,002.86
Algebraic connectivity a =0.038 372 9


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



[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., January 2010.