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Self-similar community structure in a network of human interactions
Guimerà Manrique, Roger; Danon, L.; Díez Guilera, Albert; Giralt, Francesc; Arenas, Àlex
Universitat de Barcelona
We propose a procedure for analyzing and characterizing complex networks. We apply this to the social network as constructed from email communications within a medium sized university with about 1700 employees. Email networks provide an accurate and nonintrusive description of the flow of information within human organizations. Our results reveal the self-organization of the network into a state where the distribution of community sizes is self-similar. This suggests that a universal mechanism, responsible for emergence of scaling in other self-organized complex systems, as, for instance, river networks, could also be the underlying driving force in the formation and evolution of social networks.
2011-07-26
Física
Physics
(c) American Physical Society, 2003
Article
The American Physical Society
         

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