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Links 1 through 10 of 114 by Simon Belak tagged architecture

Nodes are often of different types, and in this sense networks are differentiated. We examine the relationship between differentiation and size in networks under economic or natural selective pressure, (electronic circuits, Legos, businesses, universities, organisms, ant colonies, nervous systems).
1. differentiation increases with network size
2. the relationship is consistent with a power law
Because nodes are costly to build and maintain, network size is optimized, and from this the power-law relationship may be derived. The scaling exponent depends on the kind of network, and is determined by the degree to which nodes are used in a combinatorial fashion to carry out network-level functions. Networks under natural selection have much higher combinatorial abilities than the networks for which human ingenuity is involved. A similar optimization hypothesis may be used to explain scaling of differentiation in competitive networks (i.e. where the nodes are under selective pressure).

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