Marvel
This is the fictional collaboration network of characters in works of Marvel, a
publisher of comic books based in the United States of America. The network is
bipartite. Nodes are characters and works, and an edge is present when a
character appears in a work. The dataset takes works only into account if thy
were published starting in 1961. To cite the paper: "We only consider here
comics published after Issue 1 of Fantastic Four (dated November 1961), which
is understood as the point of departure of the Marvel Age of Comics." The data
was extracted from the Marvel Chronology Project (MCP) created by Russ Chappell
(www.chronologyproject.com). The dataset does contain the names of the
characters, even though a few a empty strings.
Metadata
Statistics
Size  n =  25,914

Left size  n_{1} =  6,486

Right size  n_{2} =  19,428

Volume  m =  96,662

Wedge count  s =  12,869,214

Claw count  z =  3,054,666,860

Cross count  x =  795,147,934,751

Triangle count  t =  0

Square count  q =  10,709,594

4Tour count  T_{4} =  137,346,932

Maximum degree  d_{max} =  1,625

Maximum left degree  d_{1max} =  1,625

Maximum right degree  d_{2max} =  111

Average degree  d =  7.460 21

Average left degree  d_{1} =  14.903 2

Average right degree  d_{2} =  4.975 40

Fill  p =  0.000 767 098

Size of LCC  N =  19,365

Diameter  δ =  11

50Percentile effective diameter  δ_{0.5} =  3.955 58

90Percentile effective diameter  δ_{0.9} =  5.442 45

Median distance  δ_{M} =  4

Mean distance  δ_{m} =  4.491 85

Gini coefficient  G =  0.615 843

Balanced inequality ratio  P =  0.276 929

Left balanced inequality ratio  P_{1} =  0.181 385

Right balanced inequality ratio  P_{2} =  0.347 541

Relative edge distribution entropy  H_{er} =  0.895 614

Power law exponent  γ =  1.635 85

Tail power law exponent  γ_{t} =  2.181 00

Tail power law exponent with p  γ_{3} =  2.181 00

pvalue  p =  0.048 000 0

Left tail power law exponent with p  γ_{3,1} =  1.951 00

Left pvalue  p_{1} =  0.003 000 00

Right tail power law exponent with p  γ_{3,2} =  4.681 00

Right pvalue  p_{2} =  0.033 000 0

Degree assortativity  ρ =  −0.017 701 3

Degree assortativity pvalue  p_{ρ} =  3.717 11 × 10^{−8}

Clustering coefficient  c =  0.000 00

Spectral norm  α =  69.136 5

Algebraic connectivity  a =  0.042 315 6

Spectral separation  λ_{1}[A] / λ_{2}[A] =  1.290 64

Controllability  C =  9,364

Relative controllability  C_{r} =  0.481 985

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]

Ricardo Alberich, J. MiroJulia, and Francesc Rosselló.
Marvel universe looks almost like a real social network.
2002.
[ http ]
