The spatial structure of networks(26 July 2004)
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Notes for this articleCorrelation between spatial distance and connectivity.
It defines a general model with a distance function. The distance function is parametrized by a number that indicates the relative importance of the number of hops and the relative importance of the length of the links.
If the number of hops is very important, the network takes a scale-free shape to minimize distance. A typical instance is the air travel network.
If the length of each segment is very important, the network takes a "planar" shape with many local links, to minimize distance. A typical instance is the road network.
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AbstractWe study networks that connect points in geographic space, such as transportation networks and the Internet. We find that there are strong signatures in these networks of topography and use patterns, giving the networks shapes that are quite distinct from one another and from non-geographic networks. We offer an explanation of these differences in terms of the costs and benefits of transportation and communication, and give a simple model based on the Monte Carlo optimization of these costs and benefits that reproduces well the qualitative features of the networks studied.
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