How to become a superhero

How to become a superhero is a paper by P. M. Gleiser, which analyzes the network of super heros such as Spider-Man, Hulk, etc.

Blog post: http://datamining.typepad.com/data_mining/2007/08/super-hero-soci.html

Image of the network: http://datamining.typepad.com/data_mining/images/2007/08/21/supernetwork.png

URL of the paper = http://arxiv.org/abs/0708.2410v1

Abstract
We analyze a collaboration network based on the Marvel Universe comic books. First, we consider the system as a binary network, where two characters are connected if they appear in the same publication. The analysis of degree correlations reveals that, in contrast to most real social networks, the Marvel Universe presents a disassortative mixing on the degree. Then, we use a weight measure to study the system as a weighted network. This allows us to find and characterize well defined communities. Through the analysis of the community structure and the clustering as a function of the degree we show that the network presents a hierarchical structure. Finally, we comment on possible mechanisms responsible for the particular motifs observed.