Trait matching without traits: using correspondence analysis to investigate the latent structure of interaction networks
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This preprint proposes to use correspondence analysis and reciprocal scaling to analyze interaction networks. These unconstrained ordination methods allow to order species along a latent gradient, which can be interpreted as their latent traits involved in their interactions. This provides a method to investigate trait matching between species, even when traits are not measured!
Recommended citation: Nicvert, L., Fritz, H., & Dray, S. (2025). Trait matching without traits: using correspondence analysis to investigate the latent structure of interaction networks. bioRxiv. https://doi.org/10.1101/2024.10.22.619454
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