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

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

4Tour count  T_{4} =  660,096,934

Maximum degree  d_{max} =  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  N_{s} =  26,997

Relative size of LSCC  N^{r}_{s} =  0.341 216

Diameter  δ =  12

50Percentile effective diameter  δ_{0.5} =  3.483 48

90Percentile effective diameter  δ_{0.9} =  4.584 41

Median distance  δ_{M} =  4

Mean distance  δ_{m} =  3.990 80

Gini coefficient  G =  0.774 219

Relative edge distribution entropy  H_{er} =  0.870 898

Power law exponent  γ =  1.819 03

Tail power law exponent  γ_{t} =  2.181 00

Degree assortativity  ρ =  −0.074 604 4

Degree assortativity pvalue  p_{ρ} =  0.000 00

In/outdegree correlation  ρ^{±} =  +0.386 575

Clustering coefficient  c =  0.023 748 4

Spectral norm  α =  52.183 3

Operator 2norm  ν =  96.839 6

Cyclic eigenvalue  π =  83.056 3

Algebraic connectivity  a =  0.008 863 49

Spectral separation  λ_{1}[A] / λ_{2}[A] =  1.065 43

Reciprocity  y =  0.184 968

Nonbipartivity  b_{A} =  0.594 523

Normalized nonbipartivity  b_{N} =  0.042 441 3

Spectral bipartite frustration  b_{K} =  0.001 581 30

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 =  45,683

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 ]
