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Weighted Configuration Model

M. A. Serrano·M. Boguna
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Abstract

The configuration model is one of the most successful models for generating uncorrelated random networks. We analyze its behavior when the expected degree sequence follows a power law with exponent smaller than two. In this situation, the resulting network can be viewed as a weighted network with non trivial correlations between strength and degree. Our results are tested against large scale numerical simulations, finding excellent agreement.

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M. A. Serrano, M. Boguna. 2005-01-31. Weighted Configuration Model. https://doi.org/10.1063/1.1985381

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