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Table 1 Datasets: Laboratory for web algorithmics [34]

From: VeilGraph: incremental graph stream processing

Dataset

|V|

|E|

#Pairs

\({\overline{d}}\)

\(max(d_{in})\)

\(max(d_{out})\)

%Dang.

\(C_{1}\)

\(l_{G}\)

cnr-2000\(^1\)

0.325 M

3.216 M

35.38% (± 0.329)

9.879

18,235

2716

23.98%

112,023 (34.41%)

17.45

(± 0.041)

eu-2005\(^1\)

0.862 M

19 M

87.01% (± 0.789)

22.297

68,922

6985

8.31%

752,725 (87.26%)

10.18

(± 0.037)

eu-2015-host\(^1\)

11 M

386 M

57.60% (± 0.119)

34.350

174,433

398,600

21.60%

6.512 M (57.82%)

5.83

(± 0.002)

dblp-2010\(^2\)

0.326 M

1.615 M

47.74% (± 0.483)

4.952

238

238

7.83%

226,413 (69.41%)

7.35

(± 0.012)

amazon-2008\(^2\)

0.735 M

5.158 M

84.40% (± 0.695)

7.015

1076

10

12.04%

627,646 (85.36%)

12.06

(± 0.021)

hollywood-2011\(^2\)

2.181 M

229 M

76.56% (± 0.757)

105.003

13,107

13,107

8.96%

1.917 M (87.91%)

3.926

(± 0.005)

  1. Web graphs are indicated with \(^1\) and social networks with \(^2\)