Wikiquote edits (it)

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


Internal nameedit-itwikisource
NameWikiquote edits (it)
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 =439,571
Left size n1 =3,518
Right size n2 =436,053
Volume m =1,654,816
Unique edge count m̿ =968,818
Wedge count s =24,508,958,886
Claw count z =855,899,375,639,108
Cross count x =2.772 88 × 1019
Square count q =4,585,837,049
4-Tour count T4 =134,724,563,928
Maximum degree dmax =306,376
Maximum left degree d1max =306,376
Maximum right degree d2max =5,084
Average degree d =7.529 23
Average left degree d1 =470.385
Average right degree d2 =3.794 99
Fill p =0.000 631 549
Average edge multiplicity m̃ =1.708 08
Size of LCC N =438,624
Diameter δ =11
50-Percentile effective diameter δ0.5 =3.349 80
90-Percentile effective diameter δ0.9 =3.897 47
Median distance δM =4
Mean distance δm =3.564 13
Gini coefficient G =0.754 942
Balanced inequality ratio P =0.208 282
Left balanced inequality ratio P1 =0.042 718 9
Right balanced inequality ratio P2 =0.309 327
Relative edge distribution entropy Her =0.695 922
Power law exponent γ =2.692 62
Tail power law exponent γt =1.581 00
Degree assortativity ρ =−0.050 757 2
Degree assortativity p-value pρ =0.000 00
Spectral norm α =4,881.91


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.