Wikiquote edits (te)

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


Internal nameedit-tewikisource
NameWikiquote 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 =54,263
Left size n1 =649
Right size n2 =53,614
Volume m =168,296
Unique edge count m̿ =105,834
Wedge count s =458,170,784
Claw count z =2,116,343,002,054
Cross count x =8,356,449,439,287,824
Square count q =126,201,939
4-Tour count T4 =2,842,526,044
Maximum degree dmax =29,288
Maximum left degree d1max =29,288
Maximum right degree d2max =925
Average degree d =6.202 97
Average left degree d1 =259.316
Average right degree d2 =3.139 03
Fill p =0.003 041 60
Average edge multiplicity m̃ =1.590 19
Size of LCC N =53,459
Diameter δ =14
50-Percentile effective diameter δ0.5 =3.461 60
90-Percentile effective diameter δ0.9 =5.390 26
Median distance δM =4
Mean distance δm =3.918 83
Gini coefficient G =0.708 637
Balanced inequality ratio P =0.237 255
Left balanced inequality ratio P1 =0.072 473 5
Right balanced inequality ratio P2 =0.349 866
Relative edge distribution entropy Her =0.704 148
Power law exponent γ =2.790 32
Tail power law exponent γt =4.651 00
Tail power law exponent with p γ3 =4.651 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.451 00
Left p-value p1 =0.010 000 0
Right tail power law exponent with p γ3,2 =7.431 00
Right p-value p2 =0.000 00
Degree assortativity ρ =+0.099 089 1
Degree assortativity p-value pρ =4.309 29 × 10−229
Spectral norm α =746.591
Algebraic connectivity a =0.020 578 1
Spectral separation 1[A] / λ2[A]| =1.306 43
Controllability C =52,590
Relative controllability Cr =0.977 546


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., January 2010.