Generating random networks from a given distribution

Nathan Carter, Charles Hadlock and Dominique Haughton

Computational Statistics & Data Analysis, 2008, vol. 52, issue 8, 3928-3938

Abstract: Several variations are given for an algorithm that generates random networks approximately respecting the probabilities given by any likelihood function, such as from a p* social network model. A novel use of the genetic algorithm is incorporated in these methods, which improves its applicability to the degenerate distributions that can arise with p* models. Our approach includes a convenient way to find the high-probability items of an arbitrary network distribution function.

Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:eee:csdana:v:52:y:2008:i:8:p:3928-3938

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