Wikipedia links (cs)

This network consists of the wikilinks of the Wikipedia in the Czech language (cs). 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

CodeWcs
Internal namewikipedia_link_cs
NameWikipedia links (cs)
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 =655,173
Volume m =18,516,525
Loop count l =3,390
Wedge count s =50,858,040,368
Claw count z =1,210,571,078,443,897
Cross count x =3.432 31 × 1019
Triangle count t =215,915,310
Maximum degree dmax =153,573
Maximum outdegree d+max =6,369
Maximum indegree dmax =153,542
Average degree d =56.524 1
Fill p =4.313 68 × 10−5
Size of LCC N =655,099
Diameter δ =10
50-Percentile effective diameter δ0.5 =2.987 09
90-Percentile effective diameter δ0.9 =4.035 48
Median distance δM =3
Mean distance δm =3.498 35
Gini coefficient G =0.754 233
Balanced inequality ratio P =0.207 648
Outdegree balanced inequality ratio P+ =0.238 356
Indegree balanced inequality ratio P =0.183 046
Power law exponent γ =1.420 05
Tail power law exponent with p γ3 =2.371 00
p-value p =0.000 00
Outdegree tail power law exponent with p γ3,o =2.621 00
Outdegree p-value po =0.000 00
Indegree tail power law exponent with p γ3,i =2.141 00
Indegree p-value pi =0.000 00
Degree assortativity ρ =−0.047 162 6
Degree assortativity p-value pρ =0.000 00
In/outdegree correlation ρ± =+0.781 661
Clustering coefficient c =0.012 736 4
Directed clustering coefficient c± =0.211 055
Spectral norm α =855.217
Operator 2-norm ν =692.304
Cyclic eigenvalue π =425.109
Spectral separation 1[A] / λ2[A]| =1.006 56
Reciprocity y =0.393 006
Non-bipartivity bA =0.378 374
Normalized non-bipartivity bN =0.072 688 2
Spectral bipartite frustration bK =0.000 662 015

Plots

Degree distribution

Cumulative degree distribution

Lorenz curve

Spectral graph drawing based on the adjacency matrix

Zipf plot

Hop distribution

Double Laplacian graph drawing

In/outdegree scatter plot

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 ]