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2011/10/28

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Self-similar scaling of density in complex real-world networks, arXiv
 









Excerpt: Despite their diverse origin, networks of large real-world systems
reveal a number of common properties including small-world phenomena, scale-free
degree distributions and modularity. Recently, network self-similarity as a
natural outcome of the evolution of real-world systems has also attracted much
attention within the physics literature. Here we investigate the scaling of
density in complex networks under two classical box-covering
renormalizations-network coarse-graining-and also different community-based
renormalizations. The analysis on over 50 real-world networks reveals a
power-law scaling of network density and size under adequate renormalization
technique, yet irrespective of network type and origin.
Source: Self-similar scaling of density in complex real-world networks[
http://arXiv.org/abs/1110.5609 ], Neli Blagus, Lovro Subelj, Marko Bajec,
arXiv:1110.5609, 2011/10/25

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