A fast and unbiased procedure to randomize ecological binary matrices with fixed row and column totals
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DOI: 10.1038/ncomms5114
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Cited by:
- Marjan Cugmas & Aleš Žiberna & Anuška Ferligoj, 2021. "The Relative Fit measure for evaluating a blockmodel," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(5), pages 1315-1335, December.
- Rivest, Louis-Paul & Ebouele, Sergio Ewane, 2020. "Sampling a two dimensional matrix," Computational Statistics & Data Analysis, Elsevier, vol. 149(C).
- Stock, Michiel & Piot, Niels & Vanbesien, Sarah & Meys, Joris & Smagghe, Guy & De Baets, Bernard, 2021. "Pairwise learning for predicting pollination interactions based on traits and phylogeny," Ecological Modelling, Elsevier, vol. 451(C).
- Matthew J Michalska-Smith & Stefano Allesina, 2019. "Telling ecological networks apart by their structure: A computational challenge," PLOS Computational Biology, Public Library of Science, vol. 15(6), pages 1-13, June.
- Jeroen van Lidth de Jeude & Riccardo Di Clemente & Guido Caldarelli & Fabio Saracco & Tiziano Squartini, 2019. "Reconstructing Mesoscale Network Structures," Complexity, Hindawi, vol. 2019, pages 1-13, January.
- Marco Bardoscia & Paolo Barucca & Stefano Battiston & Fabio Caccioli & Giulio Cimini & Diego Garlaschelli & Fabio Saracco & Tiziano Squartini & Guido Caldarelli, 2021. "The Physics of Financial Networks," Papers 2103.05623, arXiv.org.
- Isaac Trindade-Santos & Faye Moyes & Anne E. Magurran, 2022. "Global patterns in functional rarity of marine fish," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
- Geut Galai & Xie He & Barak Rotblat & Shai Pilosof, 2023. "Ecological network analysis reveals cancer-dependent chaperone-client interaction structure and robustness," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
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