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A unifying framework for fast randomization of ecological networks with fixed (node) degrees.

ABSTRACT: The Curveball algorithm is an efficient and unbiased procedure for randomizing bipartite networks (or their matrix counterpart) while preserving node degrees. Here we introduce two extensions of the procedure, making it capable to randomize also unimode directed and undirected networks. We provide formal mathematical proofs that the two extensions, as the original Curveball, are fast and unbiased (i.e. they sample uniformly from the universe of possible network configurations).

SUBMITTER: Carstens CJ

PROVIDER: S-EPMC6072652 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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A unifying framework for fast randomization of ecological networks with fixed (node) degrees.

Carstens Corrie Jacobien CJ Berger Annabell A Strona Giovanni G

MethodsX 20180705

The Curveball algorithm is an efficient and unbiased procedure for randomizing bipartite networks (or their matrix counterpart) while preserving node degrees. Here we introduce two extensions of the procedure, making it capable to randomize also unimode directed and undirected networks. We provide formal mathematical proofs that the two extensions, as the original Curveball, are fast and unbiased (i.e. they sample uniformly from the universe of possible network configurations). ...[more]

PMID: 30094204

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