Wiktionary edits (bh)

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

Metadata

Code		`mbh`
Internal name		`edit-bhwiktionary`
Name		Wiktionary edits (bh)
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 =	268
Left size	n₁ =	38
Right size	n₂ =	230
Volume	m =	289
Unique edge count	m̿ =	247
Wedge count	s =	5,807
Claw count	z =	141,131
Cross count	x =	2,577,284
Square count	q =	17
4-Tour count	T₄ =	24,166
Maximum degree	d_max =	78
Maximum left degree	d_1max =	78
Maximum right degree	d_2max =	9
Average degree	d =	2.156 72
Average left degree	d₁ =	7.605 26
Average right degree	d₂ =	1.256 52
Fill	p =	0.028 260 9
Average edge multiplicity	m̃ =	1.170 04
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 =	0.544 306
Balanced inequality ratio	P =	0.282 007
Left balanced inequality ratio	P₁ =	0.228 374
Right balanced inequality ratio	P₂ =	0.439 446
Relative edge distribution entropy	H_er =	0.818 899
Power law exponent	γ =	7.030 81
Tail power law exponent	γ_t =	2.991 00
Tail power law exponent with p	γ₃ =	2.991 00
p-value	p =	0.000 00
Left tail power law exponent with p	γ_3,1 =	2.021 00
Left p-value	p₁ =	0.331 000
Right tail power law exponent with p	γ_3,2 =	4.441 00
Right p-value	p₂ =	0.791 000
Degree assortativity	ρ =	−0.379 890
Degree assortativity p-value	p_ρ =	6.694 84 × 10⁻¹⁰
Spectral norm	α =	9.916 37
Spectral separation	\|λ₁[A] / λ₂[A]\| =	1.122 81
Controllability	C =	194
Relative controllability	C_r =	0.723 881

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.