Wikipedia edits (yi)

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


Internal nameedit-yiwiki
NameWikipedia edits (yi)
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 =41,363
Left size n1 =2,760
Right size n2 =38,603
Volume m =474,132
Unique edge count m̿ =209,217
Wedge count s =528,389,220
Claw count z =2,207,928,207,626
Cross count x =9,514,828,230,601,674
Square count q =983,155,981
4-Tour count T4 =9,979,301,530
Maximum degree dmax =66,842
Maximum left degree d1max =66,842
Maximum right degree d2max =3,349
Average degree d =22.925 4
Average left degree d1 =171.787
Average right degree d2 =12.282 3
Fill p =0.001 963 66
Average edge multiplicity m̃ =2.266 22
Size of LCC N =40,307
Diameter δ =13
50-Percentile effective diameter δ0.5 =3.250 30
90-Percentile effective diameter δ0.9 =3.955 70
Median distance δM =4
Mean distance δm =3.465 26
Gini coefficient G =0.854 588
Balanced inequality ratio P =0.149 243
Left balanced inequality ratio P1 =0.055 549 9
Right balanced inequality ratio P2 =0.200 539
Relative edge distribution entropy Her =0.749 117
Power law exponent γ =2.033 95
Tail power law exponent γt =1.701 00
Degree assortativity ρ =−0.273 556
Degree assortativity p-value pρ =0.000 00
Spectral norm α =1,318.54
Algebraic connectivity a =0.055 068 4


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.