Wikipedia links (hak)

This network consists of the wikilinks of the Wikipedia in the Hakka Chinese language (hak). Nodes are Wikipedia articles, and directed edges are wikilinks, i.e., hyperlinks within one wiki. In the wiki source, these are indicated with [[double brackets]]. Only pages in the article namespace are included.

Metadata

CodeWhak
Internal namewikipedia_link_hak
NameWikipedia links (hak)
Data sourcehttp://dumps.wikimedia.org/
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Category
Hyperlink network
Node meaningArticle
Edge meaningWikilink
Network formatUnipartite, directed
Edge typeUnweighted, no multiple edges
ReciprocalContains reciprocal edges
Directed cyclesContains directed cycles
LoopsContains loops

Statistics

Size n =11,487
Volume m =427,057
Loop count l =3
Wedge count s =42,775,768
Claw count z =16,799,003,841
Cross count x =1,978,291,241,430
Triangle count t =11,512,146
Square count q =1,669,651,210
4-Tour count T4 =13,528,833,540
Maximum degree dmax =1,443
Maximum outdegree d+max =270
Maximum indegree dmax =1,442
Average degree d =74.354 8
Fill p =0.003 236 48
Size of LCC N =11,442
Size of LSCC Ns =7,518
Relative size of LSCC Nrs =0.654 479
Diameter δ =12
50-Percentile effective diameter δ0.5 =3.489 00
90-Percentile effective diameter δ0.9 =4.838 63
Median distance δM =4
Mean distance δm =4.001 45
Gini coefficient G =0.750 244
Balanced inequality ratio P =0.194 821
Outdegree balanced inequality ratio P+ =0.193 485
Indegree balanced inequality ratio P =0.211 829
Relative edge distribution entropy Her =0.883 718
Power law exponent γ =1.419 71
Tail power law exponent γt =1.421 00
Tail power law exponent with p γ3 =1.421 00
p-value p =0.000 00
Outdegree tail power law exponent with p γ3,o =1.401 00
Outdegree p-value po =0.000 00
Indegree tail power law exponent with p γ3,i =1.361 00
Indegree p-value pi =0.000 00
Degree assortativity ρ =+0.164 534
Degree assortativity p-value pρ =0.000 00
In/outdegree correlation ρ± =+0.781 545
Clustering coefficient c =0.807 383
Directed clustering coefficient c± =0.971 885
Spectral norm α =530.506
Operator 2-norm ν =265.506
Cyclic eigenvalue π =265.000
Algebraic connectivity a =0.064 617 2
Spectral separation 1[A] / λ2[A]| =1.328 68
Reciprocity y =0.780 512
Non-bipartivity bA =0.841 957
Normalized non-bipartivity bN =0.067 154 8
Algebraic non-bipartivity χ =0.111 639
Spectral bipartite frustration bK =0.000 613 252
Controllability C =3,706
Relative controllability Cr =0.322 626

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 Laplacian

Spectral graph drawing based on the normalized adjacency matrix

Degree assortativity

Zipf plot

Hop distribution

Double Laplacian graph drawing

Delaunay graph drawing

In/outdegree scatter plot

Clustering coefficient distribution

Average neighbor degree distribution

SynGraphy

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 ]