Advogato
This is the trust network of Advogato. Advogato is an online community platform
for developers of free software launched in 1999. Nodes are users of Advogato
and the directed edges represent trust relationships. A trust link is called a
"certification" on Advogato, and three different levels of certifications are
possible on Advogato, corresponding to three different edge weights:
certifications as apprentice (0.6), journeyer (0.8) and master (1.0). A user
without any trust certificate is called an observer. It is possible to trust
oneself on Advogato, and therefore the network contains loops.
Metadata
Statistics
Size  n =  6,541

Volume  m =  51,127

Loop count  l =  3,992

Wedge count  s =  3,197,651

Claw count  z =  466,990,179

Cross count  x =  71,381,614,071

Triangle count  t =  98,300

Square count  q =  3,571,636

4Tour count  T_{4} =  41,442,262

Maximum degree  d_{max} =  943

Maximum outdegree  d^{+}_{max} =  786

Maximum indegree  d^{−}_{max} =  722

Average degree  d =  15.632 8

Fill  p =  0.001 195 71

Size of LCC  N =  5,042

Size of LSCC  N_{s} =  3,140

Relative size of LSCC  N^{r}_{s} =  0.480 049

Diameter  δ =  9

50Percentile effective diameter  δ_{0.5} =  2.730 57

90Percentile effective diameter  δ_{0.9} =  3.818 14

Median distance  δ_{M} =  3

Mean distance  δ_{m} =  3.287 99

Gini coefficient  G =  0.690 622

Balanced inequality ratio  P =  0.228 500

Outdegree balanced inequality ratio  P_{+} =  0.225 771

Indegree balanced inequality ratio  P_{−} =  0.225 634

Relative edge distribution entropy  H_{er} =  0.888 720

Power law exponent  γ =  1.683 19

Tail power law exponent  γ_{t} =  3.041 00

Tail power law exponent with p  γ_{3} =  3.041 00

pvalue  p =  0.026 000 0

Outdegree tail power law exponent with p  γ_{3,o} =  3.141 00

Outdegree pvalue  p_{o} =  0.053 000 0

Indegree tail power law exponent with p  γ_{3,i} =  3.121 00

Indegree pvalue  p_{i} =  0.600 000

Degree assortativity  ρ =  −0.095 094 6

Degree assortativity pvalue  p_{ρ} =  3.111 87 × 10^{−157}

In/outdegree correlation  ρ^{±} =  +0.689 148

Clustering coefficient  c =  0.092 223 9

Directed clustering coefficient  c^{±} =  0.123 560

Operator 2norm  ν =  48.084 5

Algebraic connectivity  a =  0.092 830 6

Spectral separation  λ_{1}[A] / λ_{2}[A] =  1.645 31

Reciprocity  y =  0.385 159

Controllability  C =  1,038

Relative controllability  C_{r} =  0.158 740

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]

Paolo Massa, Martino Salvetti, and Danilo Tomasoni.
Bowling alone and trust decline in social network sites.
In Proc. Int. Conf. Dependable, Auton. and Secure Comput.,
pages 658–663, 2009.
