In network_inference.Rmd, Hubbell's model seems interpreted as involving no interspecific interactions ("the model does not involve an interaction matrix"). But under the zero-sum assumption that makes all individuals compete for space equally, intra- and inter-specific competition seem essentially equal. This point is exploited in some multivariate time series models to test for neutrality, for instance in Mutshinda, C. M., & O’Hara, R. B. (2011). Integrating the niche and neutral perspectives on community structure and dynamics. Oecologia, 166(1), 241-251. Hence it seems logical that a matrix with a large number of interactions is inferred (irrespective of other identifiability issues that are certainly plausible).
Thanks for the reference. Yes, indeed, the tutorial text needs to be adjusted to avoid the impression that interactions are absent from Hubbell's model (done now).
In network_inference.Rmd, Hubbell's model seems interpreted as involving no interspecific interactions ("the model does not involve an interaction matrix"). But under the zero-sum assumption that makes all individuals compete for space equally, intra- and inter-specific competition seem essentially equal. This point is exploited in some multivariate time series models to test for neutrality, for instance in Mutshinda, C. M., & O’Hara, R. B. (2011). Integrating the niche and neutral perspectives on community structure and dynamics. Oecologia, 166(1), 241-251. Hence it seems logical that a matrix with a large number of interactions is inferred (irrespective of other identifiability issues that are certainly plausible).