基于统计社会网络的食品消费数据模型
A Statistical Social Network Model for Consumption Data in Food Webs
摘要：
我们适应现有的社交网络的统计建模技术，研究营养食物网中观察到的消费数据。这些数据描述了组成食物网的节点（称为营养物种）的生物体之间的摄食量（非负）。模型的复杂性是由于数据中大量的零，因为网络中的每个节点都是捕食者/猎物，只有少数其他营养物种。许多零被认为是结构性的（非随机的）在喂养行为的上下文中。基础猎物和顶级捕食者节点的存在（那些从不消费的和那些从不消费的，概率为1）给统计建模带来了额外的复杂性。我们开发了一个特殊的统计社会网络模型来解释这样的网络功能。该模型适用于两个经验的食物网，重点是在网络上的海豹的人口规模是各种商业渔业的关注。
英文摘要：
We adapt existing statistical modeling techniques for social networks to study consumption data observed in trophic food webs. These data describe the feeding volume (non-negative) among organisms grouped into nodes, called trophic species, 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 trophic species. Many of the zeros are regarded as structural (non-random) in the context of feeding behavior. The presence of basal prey and top predator nodes (those who never consume and those who are never consumed, with probability 1) creates additional complexity to the statistical modeling. We develop a special statistical social network model to account for such network features. The model is applied to two empirical food webs; focus is on the web for which the population size of seals is of concern to various commercial fisheries.
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