European Union domain

This is the hyperlink network of the .eu domain, for the European Union.

Metadata

CodeEU
Internal namedimacs10-eu-2005
NameEuropean Union domain
Data sourcehttps://www.cc.gatech.edu/dimacs10/archive/clustering.shtml
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Category
Hyperlink network
Dataset timestamp 2005
Node meaningPage
Edge meaningHyperlink
Network formatUnipartite, undirected
Edge typeUnweighted, no multiple edges
LoopsDoes not contain loops
Snapshot Is a snapshot and likely to not contain all data
Orientation Is not directed, but the underlying data is
Multiplicity Does not have multiple edges, but the underlying data has

Statistics

Size n =862,664
Volume m =16,138,468
Loop count l =0
Wedge count s =41,592,855,049
Claw count z =399,568,418,872,993
Cross count x =4,194,998,147,314,370,048
Triangle count t =202,170,577
Square count q =262,745,367,033
Maximum degree dmax =68,963
Average degree d =37.415 4
Fill p =4.337 20 × 10−5
Size of LCC N =862,664
Diameter δ =21
50-Percentile effective diameter δ0.5 =4.204 69
90-Percentile effective diameter δ0.9 =6.242 29
Median distance δM =5
Mean distance δm =4.911 12
Gini coefficient G =0.652 140
Balanced inequality ratio P =0.261 425
Relative edge distribution entropy Her =0.898 321
Power law exponent γ =1.366 01
Tail power law exponent γt =2.611 00
Clustering coefficient c =0.014 582 1
Spectral norm α =738.130
Spectral separation |λ1[A] / λ2[A]| =1.018 55
Non-bipartivity bA =0.018 208 5
Normalized non-bipartivity bN =8.978 75 × 10−5
Algebraic non-bipartivity χ =0.000 180 101
Spectral bipartite frustration bK =1.203 39 × 10−6

Plots

Degree distribution

Cumulative degree distribution

Spectral distribution of the normalized adjacency matrix

Spectral graph drawing based on the normalized adjacency matrix

Zipf plot

Hop distribution

Delaunay graph drawing

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 ]
[2] Paolo Boldi, Bruno Codenotti, Massimo Santini, and Sebastiano Vigna. UbiCrawler: A scalable fully distributed web crawler. Softw.: Pract. and Exp., 34(8):711–726, 2004.