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Main article: "Hyperbolic geometric graph

Assuming that a network has an underlying hyperbolic geometry, one can use the framework of "spatial networks to generate scale-free degree distributions. This heterogeneous degree distribution then simply reflects the negative curvature and metric properties of the underlying hyperbolic geometry.[34]

Edge dual transformation to generate scale free graphs with desired properties[edit]

Starting with scale free graphs with low degree correlation and clustering coefficient, one can generate new graphs with much higher degree correlations and clustering coefficients by applying edge-dual transformation.[14]

Scale-free ideal network[edit]

In the context of "network theory a scale-free ideal network is a "random network with a "degree distribution following the "scale-free ideal gas "density distribution. These networks are able to reproduce city-size distributions and electoral results by unraveling the size distribution of social groups with information theory on complex networks when a competitive cluster growth process is applied to the network.[35][36] In models of scale-free ideal networks it is possible to demonstrate that "Dunbar's number is the cause of the phenomenon known as the '"six degrees of separation' .

See also[edit]

References[edit]

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Further reading[edit]

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