Wiktionary edits (sn)

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

Metadata

Code		`msn`
Internal name		`edit-snwiktionary`
Name		Wiktionary edits (sn)
Data source		http://dumps.wikimedia.org/
Availability		Dataset is available for download
Consistency check		Dataset passed all tests
Category		Authorship network
Dataset timestamp		2017-10-20
Node meaning		User, article
Edge meaning		Edit
Network format		Bipartite, undirected
Edge type		Unweighted, multiple edges
Temporal data		Edges are annotated with timestamps

Statistics

Size	n =	270
Left size	n₁ =	37
Right size	n₂ =	233
Volume	m =	295
Unique edge count	m̿ =	271
Wedge count	s =	6,255
Claw count	z =	146,005
Cross count	x =	2,651,049
Square count	q =	124
4-Tour count	T₄ =	26,862
Maximum degree	d_max =	78
Maximum left degree	d_1max =	78
Maximum right degree	d_2max =	13
Average degree	d =	2.185 19
Average left degree	d₁ =	7.972 97
Average right degree	d₂ =	1.266 09
Fill	p =	0.031 434 9
Average edge multiplicity	m̃ =	1.088 56
Size of LCC	N =	78
Diameter	δ =	2
50-Percentile effective diameter	δ_0.5 =	1.481 26
90-Percentile effective diameter	δ_0.9 =	1.896 25
Median distance	δ_M =	2
Mean distance	δ_m =	1.952 09
Gini coefficient	G =	0.548 992
Balanced inequality ratio	P =	0.281 356
Left balanced inequality ratio	P₁ =	0.196 610
Right balanced inequality ratio	P₂ =	0.433 898
Relative edge distribution entropy	H_er =	0.817 383
Power law exponent	γ =	5.547 10
Tail power law exponent	γ_t =	2.731 00
Tail power law exponent with p	γ₃ =	2.731 00
p-value	p =	0.075 000 0
Left tail power law exponent with p	γ_3,1 =	1.941 00
Left p-value	p₁ =	0.637 000
Right tail power law exponent with p	γ_3,2 =	3.531 00
Right p-value	p₂ =	0.026 000 0
Degree assortativity	ρ =	−0.384 464
Degree assortativity p-value	p_ρ =	5.623 37 × 10⁻¹¹
Spectral norm	α =	9.131 94
Spectral separation	\|λ₁[A] / λ₂[A]\| =	1.033 99
Controllability	C =	200
Relative controllability	C_r =	0.746 269

Plots

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 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

Downloads

References

[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.