Guimerà Manrique, RogerDanon, LeonDíaz Guilera, AlbertGiralt, FrancescArenas, Àlex2011-07-072011-07-0720031063-651Xhttps://hdl.handle.net/2445/18818We 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.4 p.application/pdfeng(c) American Physical Society, 2003FísicaPhysicsinfo:eu-repo/semantics/article519665info:eu-repo/semantics/openAccess