Graph theory

Unbiased degree-preserving randomization of directed binary networks

E. Roberts, A. Coolen

Physical Review E 85, 46103 (2012)

Unbiased randomisation processes generate sophisticated synthetic networks for modelling and testing the properties of real-world networks.

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Image for the paper "Unbiased degree-preserving randomization of directed binary networks"
Image for the paper "Unbiased degree-preserving randomization of directed binary networks"
Image for the paper "Unbiased degree-preserving randomization of directed binary networks"
LCP
Image for the paper "Unbiased degree-preserving randomization of directed binary networks"
Image for the paper "Unbiased degree-preserving randomization of directed binary networks"
Image for the paper "Unbiased degree-preserving randomization of directed binary networks"
Image for the paper "Unbiased degree-preserving randomization of directed binary networks"
Image for the paper "Unbiased degree-preserving randomization of directed binary networks"
Image for the paper "Unbiased degree-preserving randomization of directed binary networks"
Image for the paper "Unbiased degree-preserving randomization of directed binary networks"
Image for the paper "Unbiased degree-preserving randomization of directed binary networks"
Image for the paper "Unbiased degree-preserving randomization of directed binary networks"
Image for the paper "Unbiased degree-preserving randomization of directed binary networks"
Image for the paper "Unbiased degree-preserving randomization of directed binary networks"
Image for the paper "Unbiased degree-preserving randomization of directed binary networks"