Slashdot
This is the reply network of technology website Slashdot. Nodes are users and
edges are replies. The edges are directed and start from the responding user.
Edges are annotated with the timestamp of the reply.
Metadata
Statistics
Size  n =  51,083

Volume  m =  140,778

Unique edge count  m̿ =  131,175

Loop count  l =  989

Wedge count  s =  9,392,516

Claw count  z =  4,547,184,694

Cross count  x =  3,037,926,984,306

Triangle count  t =  18,937

Square count  q =  549,661

4Tour count  T_{4} =  42,200,498

Maximum degree  d_{max} =  3,357

Maximum outdegree  d^{+}_{max} =  342

Maximum indegree  d^{−}_{max} =  3,357

Average degree  d =  5.511 74

Fill  p =  5.026 88 × 10^{−5}

Average edge multiplicity  m̃ =  1.073 21

Size of LCC  N =  51,083

Size of LSCC  N_{s} =  16,377

Relative size of LSCC  N^{r}_{s} =  0.320 596

Diameter  δ =  17

50Percentile effective diameter  δ_{0.5} =  4.073 23

90Percentile effective diameter  δ_{0.9} =  5.280 07

Median distance  δ_{M} =  5

Mean distance  δ_{m} =  4.589 05

Gini coefficient  G =  0.712 486

Balanced inequality ratio  P =  0.208 655

Outdegree balanced inequality ratio  P_{+} =  0.263 599

Indegree balanced inequality ratio  P_{−} =  0.219 786

Relative edge distribution entropy  H_{er} =  0.881 606

Power law exponent  γ =  2.518 86

Tail power law exponent  γ_{t} =  1.911 00

Degree assortativity  ρ =  −0.034 675 3

Degree assortativity pvalue  p_{ρ} =  0.000 00

In/outdegree correlation  ρ^{±} =  +0.716 637

Clustering coefficient  c =  0.006 048 54

Spectral norm  α =  91.502 9

Operator 2norm  ν =  71.918 7

Cyclic eigenvalue  π =  40.475 8

Algebraic connectivity  a =  0.026 044 0

Spectral separation  λ_{1}[A] / λ_{2}[A] =  1.229 25

Reciprocity  y =  0.216 497

Nonbipartivity  b_{A} =  0.247 550

Normalized nonbipartivity  b_{N} =  0.014 353 1

Spectral bipartite frustration  b_{K} =  0.001 428 07

Controllability  C =  33,852

Relative controllability  C_{r} =  0.390 000

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]

Vicenç Gómez, Andreas Kaltenbrunner, and Vicente López.
Statistical analysis of the social network and discussion threads in
Slashdot.
In Proc. Int. World Wide Web Conf., pages 645–654, 2008.
