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