Wiktionary edits (su)

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


Internal nameedit-suwiktionary
NameWiktionary edits (su)
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 =1,499
Left size n1 =181
Right size n2 =1,318
Volume m =5,461
Unique edge count m̿ =3,091
Wedge count s =266,717
Claw count z =20,750,762
Cross count x =1,342,530,381
Square count q =191,730
4-Tour count T4 =2,608,842
Maximum degree dmax =807
Maximum left degree d1max =807
Maximum right degree d2max =49
Average degree d =7.286 19
Average left degree d1 =30.171 3
Average right degree d2 =4.143 40
Fill p =0.012 957 0
Average edge multiplicity m̃ =1.766 74
Size of LCC N =1,252
Diameter δ =12
50-Percentile effective diameter δ0.5 =3.587 43
90-Percentile effective diameter δ0.9 =5.716 14
Median distance δM =4
Mean distance δm =4.205 57
Gini coefficient G =0.748 399
Balanced inequality ratio P =0.207 013
Left balanced inequality ratio P1 =0.109 504
Right balanced inequality ratio P2 =0.285 479
Relative edge distribution entropy Her =0.799 855
Power law exponent γ =2.555 37
Tail power law exponent γt =2.241 00
Tail power law exponent with p γ3 =2.241 00
p-value p =0.004 000 00
Left tail power law exponent with p γ3,1 =1.641 00
Left p-value p1 =0.238 000
Right tail power law exponent with p γ3,2 =2.451 00
Right p-value p2 =0.000 00
Degree assortativity ρ =−0.108 646
Degree assortativity p-value pρ =1.396 51 × 10−9
Spectral norm α =101.238
Algebraic connectivity a =0.031 342 4
Spectral separation 1[A] / λ2[A]| =1.559 40
Controllability C =1,109
Relative controllability Cr =0.755 965


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