Slashdot Zoo
This is the signed social network of users of the technology news site Slashdot
(slashdot.org), connected by directed "friend" and "foe" relations. The
"friend" and "foe" labels are used on Slashdot to mark users, and influence the
scores as seen by each user. For instance, If user A marks user B as a foe, the
score of user B's posts will be decreased as shown to user A.
Metadata
Statistics
| Size | n = | 79,120
|
| Volume | m = | 515,397
|
| Loop count | l = | 0
|
| Wedge count | s = | 67,962,178
|
| Claw count | z = | 18,027,108,870
|
| Cross count | x = | 6,450,174,110,946
|
| Triangle count | t = | 537,997
|
| Square count | q = | 48,414,095
|
| 4-Tour count | T4 = | 660,096,934
|
| Maximum degree | dmax = | 2,543
|
| Maximum outdegree | d+max = | 426
|
| Maximum indegree | d−max = | 2,529
|
| Average degree | d = | 13.028 2
|
| Fill | p = | 8.234 15 × 10−5
|
| Size of LCC | N = | 79,116
|
| Size of LSCC | Ns = | 26,997
|
| Relative size of LSCC | Nrs = | 0.341 216
|
| Diameter | δ = | 12
|
| 50-Percentile effective diameter | δ0.5 = | 3.483 48
|
| 90-Percentile effective diameter | δ0.9 = | 4.584 41
|
| Median distance | δM = | 4
|
| Mean distance | δm = | 3.990 80
|
| Gini coefficient | G = | 0.774 219
|
| Balanced inequality ratio | P = | 0.184 714
|
| Outdegree balanced inequality ratio | P+ = | 0.193 447
|
| Indegree balanced inequality ratio | P− = | 0.202 801
|
| Relative edge distribution entropy | Her = | 0.870 898
|
| Power law exponent | γ = | 1.819 03
|
| Tail power law exponent | γt = | 2.181 00
|
| Tail power law exponent with p | γ3 = | 2.181 00
|
| p-value | p = | 0.000 00
|
| Outdegree tail power law exponent with p | γ3,o = | 1.901 00
|
| Outdegree p-value | po = | 0.000 00
|
| Indegree tail power law exponent with p | γ3,i = | 2.341 00
|
| Indegree p-value | pi = | 0.000 00
|
| Degree assortativity | ρ = | −0.074 604 4
|
| Degree assortativity p-value | pρ = | 0.000 00
|
| In/outdegree correlation | ρ± = | +0.386 575
|
| Clustering coefficient | c = | 0.023 748 4
|
| Directed clustering coefficient | c± = | 0.055 892 8
|
| Spectral norm | α = | 176.810
|
| Operator 2-norm | ν = | 96.839 6
|
| Cyclic eigenvalue | π = | 83.056 3
|
| Algebraic connectivity | a = | 0.008 863 49
|
| Spectral separation | |λ1[A] / λ2[A]| = | 1.979 94
|
| Reciprocity | y = | 0.184 968
|
| Non-bipartivity | bA = | 0.594 523
|
| Normalized non-bipartivity | bN = | 0.042 441 3
|
| Algebraic non-bipartivity | χ = | 0.074 807 1
|
| Spectral bipartite frustration | bK = | 0.001 581 69
|
| Negativity | ζ = | 0.239 074
|
| Algebraic conflict | ξ = | 0.073 579 5
|
| Triadic conflict | τ = | 0.134 578
|
| Spectral signed frustration | φ = | 0.001 562 05
|
| Controllability | C = | 45,681
|
| Relative controllability | Cr = | 0.577 393
|
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]
|
Jérôme Kunegis, Andreas Lommatzsch, and Christian Bauckhage.
The Slashdot Zoo: Mining a social network with negative edges.
In Proc. Int. World Wide Web Conf., pages 741–750, 2009.
[ http ]
|
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