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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.
(c) American Physical Society, 2003
The American Physical Society

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