Wiktionary edits (ks)

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


Internal nameedit-kswiktionary
NameWiktionary edits (ks)
Data sourcehttp://dumps.wikimedia.org/
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 =888
Left size n1 =167
Right size n2 =721
Volume m =1,884
Unique edge count m̿ =1,156
Wedge count s =40,762
Claw count z =1,835,512
Cross count x =72,026,329
Square count q =7,842
4-Tour count T4 =228,408
Maximum degree dmax =508
Maximum left degree d1max =508
Maximum right degree d2max =48
Average degree d =4.243 24
Average left degree d1 =11.281 4
Average right degree d2 =2.613 04
Fill p =0.009 600 77
Average edge multiplicity m̃ =1.629 76
Size of LCC N =694
Diameter δ =15
50-Percentile effective diameter δ0.5 =5.146 82
90-Percentile effective diameter δ0.9 =9.213 90
Median distance δM =6
Mean distance δm =5.698 80
Gini coefficient G =0.688 041
Relative edge distribution entropy Her =0.844 568
Power law exponent γ =3.462 78
Tail power law exponent γt =2.191 00
Degree assortativity ρ =−0.209 913
Degree assortativity p-value pρ =5.603 74 × 10−13
Spectral norm α =92.063 1
Algebraic connectivity a =0.003 808 25


Fruchterman–Reingold graph drawing

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

Double Laplacian graph drawing

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. http://dumps.wikimedia.org/, January 2010.