Trait matching without traits: using correspondence analysis to investigate the latent structure of interaction networks
Published in Peer Community Journal, 2025
This article 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!
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Recommended citation: Nicvert, L., Fritz, H., & Dray, S. (2025). Trait matching without traits: Using correspondence analysis to investigate the latent structure of interaction networks. Peer Community Journal, 5. https://doi.org/10.24072/pcjournal.580
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