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How to become a superhero

Pablo M Gleiser

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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.


Keywords

random graphs, networks

socio-economic networks

network dynamics

scaling in socio-economic systems

 

E-print Number: 0708.2410

Cited: by |

Refers: to

PACS

89.75.Hc Networks and genealogical trees

89.75.Fb Structures and organization in complex systems

89.65.-s Social and economic systems

MSC

62B10 Information-theoretic topics (See also 94A17)

91D30 Social networks

Subjects

Statistical physics and nonlinear systems

Dates

Issue 09 (September 2007)

Received 29 August 2007, accepted for publication 10 September 2007

Published 27 September 2007



  1. How to become a superhero

    Pablo M Gleiser J. Stat. Mech. (2007) P09020

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