作者
Benno I Simmons, Michelle JM Sweering, Maybritt Schillinger, Lynn V Dicks, William J Sutherland, Riccardo Di Clemente
发表日期
2019/5
期刊
Methods in Ecology and Evolution
卷号
10
期号
5
页码范围
695-701
简介
  1. Bipartite networks are widely used to represent a diverse range of species interactions, such as pollination, herbivory, parasitism and seed dispersal. The structure of these networks is usually characterised by calculating one or more indices that capture different aspects of network architecture. While these indices capture useful properties of networks, they are relatively insensitive to changes in network structure. Consequently, variation in ecologically‐important interactions can be missed. Network motifs are a way to characterise network structure that is substantially more sensitive to changes in pairwise interactions and is gaining in popularity. However, there is no software available in R, the most popular programming language among ecologists, for conducting motif analyses in bipartite networks. Similarly, no mathematical formalisation of bipartite motifs has been developed.
  2. Here we introduce bmotif: a …
引用总数
2019202020212022202320244551147
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