DNC corecipients
This is the undirected network of people having received the same email in the
2016 Democratic National Committee email leak. The Democratic National
Committee (DNC) is the formal governing body for the United States Democratic
Party. A dump of emails of the DNC was leaked in 2016, and this dataset
contains persons from that dump as nodes, and an edge when two persons received
the same email, i.e., when two persons were on the recipient list of the same
email. Multiple edges indicate multiple emails.
Metadata
Statistics
Size  n =  2,029

Volume  m =  136,602

Unique edge count  m̿ =  12,085

Loop count  l =  0

Wedge count  s =  955,910

Claw count  z =  86,121,142

Cross count  x =  5,511,669,921

Triangle count  t =  174,677

Square count  q =  10,408,369

4Tour count  T_{4} =  87,111,450

Maximum degree  d_{max} =  462

Average degree  d =  134.650

Fill  p =  0.029 478 1

Average edge multiplicity  m̃ =  11.303 4

Size of LCC  N =  849

Diameter  δ =  8

50Percentile effective diameter  δ_{0.5} =  2.204 17

90Percentile effective diameter  δ_{0.9} =  3.306 08

Median distance  δ_{M} =  3

Mean distance  δ_{m} =  2.713 72

Gini coefficient  G =  0.889 309

Balanced inequality ratio  P =  0.109 475

Relative edge distribution entropy  H_{er} =  0.842 080

Power law exponent  γ =  1.583 17

Tail power law exponent  γ_{t} =  1.451 00

Tail power law exponent with p  γ_{3} =  1.451 00

pvalue  p =  0.000 00

Degree assortativity  ρ =  −0.124 892

Degree assortativity pvalue  p_{ρ} =  2.796 50 × 10^{−73}

Clustering coefficient  c =  0.548 201

Spectral norm  α =  3,522.12

Algebraic connectivity  a =  0.211 770

Spectral separation  λ_{1}[A] / λ_{2}[A] =  3.867 82

Nonbipartivity  b_{A} =  0.755 203

Normalized nonbipartivity  b_{N} =  0.274 849

Algebraic nonbipartivity  χ =  0.368 608

Spectral bipartite frustration  b_{K} =  0.003 767 20

Controllability  C =  283

Relative controllability  C_{r} =  0.312 362

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 ]
