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Self-similar community structure in a network of human interactions

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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.

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GUIMERÀ MANRIQUE, Roger, DANON, Leon, DÍAZ GUILERA, Albert, GIRALT, Francesc, ARENAS, Àlex. Self-similar community structure in a network of human interactions. _Physical Review E_. 2003. Vol. 68, núm. 6, pàgs. 065103-1-065103-4. [consulta: 29 de gener de 2026]. ISSN: 1063-651X. [Disponible a: https://hdl.handle.net/2445/18818]

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