Wikipedia edits (te)

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


Internal nameedit-tewiki
NameWikipedia edits (te)
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 =232,888
Left size n1 =15,537
Right size n2 =217,351
Volume m =1,968,229
Unique edge count m̿ =834,522
Wedge count s =10,632,925,298
Claw count z =161,830,353,852,854
Cross count x =2,214,897,843,702,946,560
Square count q =11,053,080,404
4-Tour count T4 =130,958,018,032
Maximum degree dmax =147,261
Maximum left degree d1max =147,261
Maximum right degree d2max =7,345
Average degree d =16.902 8
Average left degree d1 =126.680
Average right degree d2 =9.055 53
Fill p =0.000 247 121
Average edge multiplicity m̃ =2.358 51
Size of LCC N =229,573
Diameter δ =12
50-Percentile effective diameter δ0.5 =3.282 67
90-Percentile effective diameter δ0.9 =3.955 20
Median distance δM =4
Mean distance δm =3.491 73
Gini coefficient G =0.840 475
Balanced inequality ratio P =0.164 487
Left balanced inequality ratio P1 =0.039 363 3
Right balanced inequality ratio P2 =0.224 123
Relative edge distribution entropy Her =0.713 902
Power law exponent γ =2.220 65
Tail power law exponent γt =2.681 00
Degree assortativity ρ =−0.307 328
Degree assortativity p-value pρ =0.000 00
Spectral norm α =3,983.13


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

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.