Title: A unifying framework for fast randomization of ecological networks with fixed (node) degrees
Citation: METHODSX vol. 5 p. 773-780
Publisher: ELSEVIER BV
Publication Year: 2018
JRC N°: JRC112418
ISSN: 2215-0161 (online)
URI: https://www.sciencedirect.com/science/article/pii/S2215016118301067
DOI: 10.1016/j.mex.2018.06.018
Type: Articles in periodicals and books
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).
JRC Directorate:Sustainable Resources

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