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dc.contributor.authorCARSTENS JACOBIENen_GB
dc.contributor.authorBERGER ANNABELLen_GB
dc.contributor.authorSTRONA GIOVANNIen_GB
dc.date.accessioned2019-10-26T02:18:57Z-
dc.date.available2019-10-25en_GB
dc.date.available2019-10-26T02:18:57Z-
dc.date.created2019-07-03en_GB
dc.date.issued2018en_GB
dc.date.submitted2018-06-26en_GB
dc.identifier.citationMETHODSX vol. 5 p. 773-780en_GB
dc.identifier.issn2215-0161 (online)en_GB
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S2215016118301067en_GB
dc.identifier.urihttps://publications.jrc.ec.europa.eu/repository/handle/JRC112418-
dc.description.abstractThe 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).en_GB
dc.description.sponsorshipJRC.D.1-Bio-economyen_GB
dc.format.mediumOnlineen_GB
dc.languageENGen_GB
dc.publisherELSEVIER BVen_GB
dc.relation.ispartofseriesJRC112418en_GB
dc.titleA unifying framework for fast randomization of ecological networks with fixed (node) degreesen_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.1016/j.mex.2018.06.018 (online)en_GB
JRC Directorate:Sustainable Resources

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