A Statistical Social Network Model for Consumption Data in Food Webs - Statistics > MethodologyReport as inadecuate




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Abstract: We adapt existing statistical modeling techniques for social networks tostudy consumption data observed in trophic food webs. These data describe thefeeding volume non-negative among organisms grouped into nodes, calledtrophic species, that form the food web. Model complexity arises due to theextensive amount of zeros in the data, as each node in the web is predator-preyto only a small number of other trophic species. Many of the zeros are regardedas structural non-random in the context of feeding behavior. The presence ofbasal prey and top predator nodes those who never consume and those who arenever consumed, with probability 1 creates additional complexity to thestatistical modeling. We develop a special statistical social network model toaccount for such network features. The model is applied to two empirical foodwebs; focus is on the web for which the population size of seals is of concernto various commercial fisheries.



Author: Grace S. Chiu, Anton H. Westveld

Source: https://arxiv.org/







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