arXiv hep-ph
This is the co-citation network of scientific papers from the arXiv's High
Energy Physics – Phenomenology (hep-ph) section. An edge between two papers
represents a common citing publication. Timestamps denote the date of the
citing publication.
Metadata
Statistics
Size | n = | 28,093
|
Volume | m = | 4,596,803
|
Unique edge count | m̿ = | 3,148,447
|
Loop count | l = | 0
|
Wedge count | s = | 2,097,593,926
|
Claw count | z = | 862,892,139,927
|
Cross count | x = | 409,090,345,290,895
|
Triangle count | t = | 195,758,685
|
Square count | q = | 69,676,915,730
|
4-Tour count | T4 = | 565,811,998,438
|
Maximum degree | dmax = | 11,134
|
Average degree | d = | 327.256
|
Fill | p = | 0.007 978 95
|
Average edge multiplicity | m̃ = | 1.460 02
|
Size of LCC | N = | 28,045
|
Diameter | δ = | 9
|
50-Percentile effective diameter | δ0.5 = | 2.353 74
|
90-Percentile effective diameter | δ0.9 = | 3.216 57
|
Median distance | δM = | 3
|
Mean distance | δm = | 2.827 13
|
Gini coefficient | G = | 0.670 678
|
Balanced inequality ratio | P = | 0.239 576
|
Relative edge distribution entropy | Her = | 0.934 575
|
Power law exponent | γ = | 1.219 86
|
Tail power law exponent | γt = | 1.731 00
|
Degree assortativity | ρ = | +0.033 384 3
|
Degree assortativity p-value | pρ = | 0.000 00
|
Clustering coefficient | c = | 0.279 976
|
Spectral norm | α = | 1,921.46
|
Algebraic connectivity | a = | 0.169 297
|
Spectral separation | |λ1[A] / λ2[A]| = | 1.175 18
|
Non-bipartivity | bA = | 0.862 128
|
Normalized non-bipartivity | bN = | 0.232 408
|
Algebraic non-bipartivity | χ = | 0.381 300
|
Spectral bipartite frustration | bK = | 0.000 424 561
|
Controllability | C = | 11
|
Relative controllability | Cr = | 0.000 391 557
|
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, Jon Kleinberg, and Christos Faloutsos.
Graph evolution: Densification and shrinking diameters.
ACM Trans. Knowl. Discov. from Data, 1(1):1–40, 2007.
|