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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, et al. Self-similar community structure in a network of human interactions. Physical Review E. 2003. Vol. 68, num. 6, pags. 065103-1-065103-4. ISSN 1063-651X. [consulted: 4 of August of 2026]. Available at: https://hdl.handle.net/2445/18818

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