Higgs
The is a directed follower social network from Twitter, in the context of the
announcement of the discovery of a particle with the features of Higgs boson.
The network contains loops.
Metadata
Statistics
Size | n = | 456,626
|
Volume | m = | 14,855,842
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Loop count | l = | 23
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Wedge count | s = | 28,786,965,703
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Claw count | z = | 228,329,313,547,960
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Cross count | x = | 1,978,606,030,373,039,872
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Triangle count | t = | 83,023,401
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Square count | q = | 54,010,191,351
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4-Tour count | T4 = | 547,254,410,446
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Maximum degree | dmax = | 51,388
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Maximum outdegree | d+max = | 1,259
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Maximum indegree | d−max = | 51,386
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Average degree | d = | 65.067 9
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Fill | p = | 7.124 85 × 10−5
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Size of LCC | N = | 456,290
|
Size of LSCC | Ns = | 360,210
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Relative size of LSCC | Nrs = | 0.788 851
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Diameter | δ = | 12
|
50-Percentile effective diameter | δ0.5 = | 2.639 63
|
90-Percentile effective diameter | δ0.9 = | 3.706 21
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Median distance | δM = | 3
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Mean distance | δm = | 3.174 10
|
Gini coefficient | G = | 0.717 584
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Balanced inequality ratio | P = | 0.220 890
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Outdegree balanced inequality ratio | P+ = | 0.265 009
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Indegree balanced inequality ratio | P− = | 0.156 805
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Relative edge distribution entropy | Her = | 0.897 103
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Power law exponent | γ = | 1.346 90
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Tail power law exponent | γt = | 2.271 00
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Tail power law exponent with p | γ3 = | 2.271 00
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p-value | p = | 0.000 00
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Outdegree tail power law exponent with p | γ3,o = | 2.671 00
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Outdegree p-value | po = | 0.000 00
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Indegree tail power law exponent with p | γ3,i = | 2.051 00
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Indegree p-value | pi = | 0.000 00
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Degree assortativity | ρ = | −0.098 444 8
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Degree assortativity p-value | pρ = | 0.000 00
|
In/outdegree correlation | ρ± = | +0.688 659
|
Clustering coefficient | c = | 0.008 652 19
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Directed clustering coefficient | c± = | 0.100 511
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Spectral norm | α = | 677.185
|
Operator 2-norm | ν = | 608.347
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Cyclic eigenvalue | π = | 202.697
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Reciprocity | y = | 0.316 026
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Non-bipartivity | bA = | 0.169 817
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Normalized non-bipartivity | bN = | 0.054 334 1
|
Algebraic non-bipartivity | χ = | 0.091 225 0
|
Spectral bipartite frustration | bK = | 0.000 415 976
|
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 ]
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[2]
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Jure Leskovec.
Stanford Network Analysis Project.
http://snap.stanford.edu/, September 2014.
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