Wikipedia edits (gu)

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


Internal nameedit-guwiki
NameWikipedia edits (gu)
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 =79,543
Left size n1 =8,403
Right size n2 =71,140
Volume m =443,632
Unique edge count m̿ =238,313
Wedge count s =1,192,003,422
Claw count z =7,020,168,006,433
Cross count x =34,089,381,217,500,844
Square count q =1,030,473,612
4-Tour count T4 =13,012,343,194
Maximum degree dmax =56,062
Maximum left degree d1max =56,062
Maximum right degree d2max =1,510
Average degree d =11.154 5
Average left degree d1 =52.794 5
Average right degree d2 =6.236 04
Fill p =0.000 398 657
Average edge multiplicity m̃ =1.861 55
Size of LCC N =78,090
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.422 64
90-Percentile effective diameter δ0.9 =4.579 58
Median distance δM =4
Mean distance δm =3.759 94
Gini coefficient G =0.807 409
Balanced inequality ratio P =0.186 728
Left balanced inequality ratio P1 =0.059 312 7
Right balanced inequality ratio P2 =0.256 722
Relative edge distribution entropy Her =0.728 602
Power law exponent γ =2.383 43
Tail power law exponent γt =1.741 00
Degree assortativity ρ =−0.378 325
Degree assortativity p-value pρ =0.000 00
Spectral norm α =769.693
Algebraic connectivity a =0.024 781 4


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

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.