Wikipedia edits (hif)

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


Internal nameedit-hifwiki
NameWikipedia edits (hif)
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 =31,566
Left size n1 =3,858
Right size n2 =27,708
Volume m =208,674
Unique edge count m̿ =114,017
Wedge count s =147,300,679
Claw count z =257,974,980,342
Cross count x =430,582,252,687,979
Square count q =206,593,730
4-Tour count T4 =2,242,223,098
Maximum degree dmax =15,472
Maximum left degree d1max =15,472
Maximum right degree d2max =274
Average degree d =13.221 4
Average left degree d1 =54.088 6
Average right degree d2 =7.531 18
Fill p =0.001 066 60
Average edge multiplicity m̃ =1.830 20
Size of LCC N =30,758
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.621 52
90-Percentile effective diameter δ0.9 =5.436 45
Median distance δM =4
Mean distance δm =4.084 58
Gini coefficient G =0.851 458
Balanced inequality ratio P =0.139 311
Left balanced inequality ratio P1 =0.062 537 7
Right balanced inequality ratio P2 =0.188 414
Relative edge distribution entropy Her =0.753 905
Power law exponent γ =2.373 69
Tail power law exponent γt =1.851 00
Tail power law exponent with p γ3 =1.851 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.821 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =1.851 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.468 393
Degree assortativity p-value pρ =0.000 00
Spectral norm α =577.311
Algebraic connectivity a =0.005 107 62
Spectral separation 1[A] / λ2[A]| =1.963 28
Controllability C =27,361
Relative controllability Cr =0.871 980


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.