Wiktionary edits (fa)

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


Internal nameedit-fawiktionary
NameWiktionary edits (fa)
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 =153,841
Left size n1 =1,485
Right size n2 =152,356
Volume m =735,491
Unique edge count m̿ =343,141
Wedge count s =7,080,337,446
Cross count x =3,837,064,202,469,971,968
Square count q =2,457,279,801
4-Tour count T4 =47,980,332,650
Maximum degree dmax =302,111
Maximum left degree d1max =302,111
Maximum right degree d2max =334
Average degree d =9.561 70
Average left degree d1 =495.280
Average right degree d2 =4.827 45
Fill p =0.001 516 65
Average edge multiplicity m̃ =2.143 41
Size of LCC N =152,426
Diameter δ =12
50-Percentile effective diameter δ0.5 =1.960 22
90-Percentile effective diameter δ0.9 =3.995 09
Median distance δM =2
Mean distance δm =3.122 64
Gini coefficient G =0.783 752
Balanced inequality ratio P =0.199 519
Left balanced inequality ratio P1 =0.023 699 8
Right balanced inequality ratio P2 =0.279 631
Relative edge distribution entropy Her =0.661 485
Tail power law exponent γt =2.121 00
Tail power law exponent with p γ3 =2.121 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.431 00
Left p-value p1 =0.227 000
Right tail power law exponent with p γ3,2 =2.121 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.529 076
Degree assortativity p-value pρ =0.000 00
Spectral norm α =1,266.10
Algebraic connectivity a =0.001 168 71
Controllability C =150,399
Relative controllability Cr =0.981 371


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

Delaunay graph drawing

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