WikiLens
The is the bipartite rating network of WikiLens, an academic project to create
a wiki-like site (WikiLens) on which any type of could be rated.
Metadata
Statistics
| Size | n = | 5,437
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| Left size | n1 = | 326
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| Right size | n2 = | 5,111
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| Volume | m = | 26,937
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| Wedge count | s = | 6,316,744
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| Claw count | z = | 1,796,063,698
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| Cross count | x = | 540,054,945,973
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| Square count | q = | 6,558,573
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| 4-Tour count | T4 = | 77,798,334
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| Maximum degree | dmax = | 1,721
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| Maximum left degree | d1max = | 1,721
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| Maximum right degree | d2max = | 80
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| Average degree | d = | 9.908 77
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| Average left degree | d1 = | 82.628 8
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| Average right degree | d2 = | 5.270 40
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| Fill | p = | 0.016 166 9
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| Size of LCC | N = | 5,416
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| Diameter | δ = | 9
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| 50-Percentile effective diameter | δ0.5 = | 3.249 34
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| 90-Percentile effective diameter | δ0.9 = | 3.877 23
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| Median distance | δM = | 4
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| Mean distance | δm = | 3.410 53
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| Gini coefficient | G = | 0.770 079
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| Balanced inequality ratio | P = | 0.193 359
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| Left balanced inequality ratio | P1 = | 0.204 774
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| Right balanced inequality ratio | P2 = | 0.267 736
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| Relative edge distribution entropy | Her = | 0.810 709
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| Power law exponent | γ = | 1.860 94
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| Tail power law exponent | γt = | 2.201 00
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| Tail power law exponent with p | γ3 = | 2.201 00
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| p-value | p = | 0.052 000 0
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| Left tail power law exponent with p | γ3,1 = | 1.711 00
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| Left p-value | p1 = | 0.000 00
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| Right tail power law exponent with p | γ3,2 = | 3.601 00
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| Right p-value | p2 = | 0.009 000 00
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| Degree assortativity | ρ = | −0.274 528
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| Degree assortativity p-value | pρ = | 0.000 00
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| Spectral norm | α = | 36.156 7
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| Algebraic connectivity | a = | 0.004 639 83
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| Spectral separation | |λ1[A] / λ2[A]| = | 1.167 54
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| Negativity | ζ = | 0.437 465
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| Algebraic conflict | ξ = | 0.191 540
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| Spectral signed frustration | φ = | 0.004 816 06
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| Controllability | C = | 4,793
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| Relative controllability | Cr = | 0.881 552
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Plots
Matrix decompositions plots
Downloads
References
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[1]
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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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Dan Frankowski, Shyong K. Lam, Shilad Sen, F. Maxwell Harper, Scott Yilek,
Michael Cassano, and John Riedl.
Recommenders everywhere: The WikiLens community-maintained
recommender system.
In Proc. Int. Symp. on Wikis, pages 47–60, 2007.
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