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Metadata
Statistics
Size | n = | 2,601,977
|
Volume | m = | 63,497,050
|
Unique edge count | m̿ = | 36,233,450
|
Loop count | l = | 15,593,784
|
Wedge count | s = | 32,544,604,487
|
Claw count | z = | 233,017,508,108,735
|
Cross count | x = | 1,726,160,310,355,354,368
|
Triangle count | t = | 114,206,974
|
Maximum degree | dmax = | 194,806
|
Maximum outdegree | d+max = | 101,663
|
Maximum indegree | d−max = | 93,143
|
Average degree | d = | 48.806 8
|
Fill | p = | 5.351 84 × 10−6
|
Average edge multiplicity | m̃ = | 1.752 44
|
Size of LCC | N = | 2,572,345
|
Size of LSCC | Ns = | 1,642,130
|
Relative size of LSCC | Nrs = | 0.631 109
|
Diameter | δ = | 11
|
50-Percentile effective diameter | δ0.5 = | 3.415 07
|
90-Percentile effective diameter | δ0.9 = | 4.413 11
|
Median distance | δM = | 4
|
Mean distance | δm = | 3.912 38
|
Gini coefficient | G = | 0.847 135
|
Balanced inequality ratio | P = | 0.151 529
|
Outdegree balanced inequality ratio | P+ = | 0.136 489
|
Indegree balanced inequality ratio | P− = | 0.179 913
|
Relative edge distribution entropy | Her = | 0.868 730
|
Power law exponent | γ = | 1.617 00
|
Tail power law exponent | γt = | 1.951 00
|
Degree assortativity | ρ = | −0.066 374 2
|
Degree assortativity p-value | pρ = | 0.000 00
|
Clustering coefficient | c = | 0.010 527 7
|
Directed clustering coefficient | c± = | 0.010 757 2
|
Spectral norm | α = | 59,877.4
|
Operator 2-norm | ν = | 29,943.5
|
Cyclic eigenvalue | π = | 29,933.2
|
Reciprocity | y = | 0.406 864
|
Non-bipartivity | bA = | 0.998 689
|
Normalized non-bipartivity | bN = | 0.050 881 6
|
Algebraic non-bipartivity | χ = | 0.087 859 8
|
Spectral bipartite frustration | bK = | 0.000 957 115
|
Plots
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]
|
Jure Leskovec.
Stanford Network Analysis Project.
http://snap.stanford.edu/, September 2014.
|