A Statistical Social Network Model for Consumption Data in Food Webs

Details A Statistical Social Network Model for Consumption Data in Food Webs A Statistical Social Network Model for Consumption Data in Food Webs

2010-06-23

arxiv.org/abs/1006.4432v2

Statistics

Methodology

Scientific paper

We adapt existing statistical modelling techniques for social networks to study consumption data observed in food webs. These data describe the feeding among organisms grouped into nodes that form the food web. Model complexity arises due to the extensive amount of zeros in the data, as each node in the web is predator / prey to only a small number of other nodes. Many of the zeros are regarded as structural (non-random) in the context of feeding behaviour. The presence of "bottom prey" and "top predator" species (those who never consume and those who are never consumed, with probability 1) creates additional complexity to the modelling framework. We develop a special statistical social network model to account for such network features. The model is applied to a well-studied food web, for which the population size of seals is of concern to various commercial fisheries.

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