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marvel_partnerships — Marvel character partnerships (2018)

Description

Network of partnerships among characters of the Marvel comic book universe, compiled by Ulf Aslak in 2018 and shared as a JSON file accompanying a network visualization posted on Twitter. Nodes are heroes and villains, identified by the titles of their English Wikipedia articles, and an undirected edge connects two characters if the Wikipedia page of one lists the other as a partner. Only characters with at least one partnership are included. Further details of the extraction are not documented.

The network has the following properties:

  • (Node) id: the title of the character's Wikipedia article (as in "Venom (Marvel Comics character)").
  • (Node) group: the type of character, with 0 = hero and 1 = villain. The value 2 is used for 35 characters that have been both, such as Magneto, Rogue or Sabretooth; its meaning is not documented in the source.
  • (Node) size: the number of partners of the character in the source data (equal to its degree).
Tags
Social Fictional Unweighted
Added
2020-08-11
Citation
  • "Ulf Aslak (@ulfaslak) Tweet", Twitter (2018) twitter.com
Upstream URL 404
http://ix.io/1omF
Networks
Tip: hover over a column header for a description.
Column legend
$\left<k\right>$
Mean degree
$\sigma_k$
Standard deviation of the degrees
$\lambda_h$
Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$
Random walk mixing time
$r$
Degree assortativity
$c$
Global clustering coefficient
$\oslash$
(Pseudo-) diameter
$S$
Relative size of the largest component
NPs
Node properties
EPs
Edge properties
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
marvel_partnerships 350 346 1.98 1.54 3.69 357.92 -0.01 0.22 21 0.52 Undirected Unipartite id group size 9 KiB 13 KiB 13 KiB 10 KiB
Ridiculograms*
* These are automatically generated force-directed visualizations, and can be quite meaningless for networks both big and small. They should not be taken seriously as sources of scientific insight. See here for a discussion.