Wikiquote edits (bn)

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


Internal nameedit-bnwikisource
NameWikiquote edits (bn)
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 =641,443
Left size n1 =961
Right size n2 =640,482
Volume m =776,458
Unique edge count m̿ =700,666
Wedge count s =45,406,738,021
Claw count z =2,481,657,069,605,680
Cross count x =1.050 69 × 1020
Square count q =172,810,102
4-Tour count T4 =183,011,137,000
Maximum degree dmax =177,716
Maximum left degree d1max =177,716
Maximum right degree d2max =942
Average degree d =2.420 97
Average left degree d1 =807.969
Average right degree d2 =1.212 30
Fill p =0.001 138 36
Average edge multiplicity m̃ =1.108 17
Size of LCC N =641,086
Diameter δ =12
50-Percentile effective diameter δ0.5 =3.857 42
90-Percentile effective diameter δ0.9 =5.774 99
Median distance δM =4
Mean distance δm =4.506 80
Gini coefficient G =0.585 023
Balanced inequality ratio P =0.290 740
Left balanced inequality ratio P1 =0.023 211 8
Right balanced inequality ratio P2 =0.449 513
Relative edge distribution entropy Her =0.628 920
Power law exponent γ =21.084 0
Tail power law exponent γt =4.281 00
Tail power law exponent with p γ3 =4.281 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.681 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =4.321 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.257 233
Degree assortativity p-value pρ =0.000 00
Spectral norm α =1,146.15
Algebraic connectivity a =0.003 582 97


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.