Motif Analyses of Bipartite Networks

Counts occurrences of motifs in bipartite networks, as well as the number of times each node or link appears in each unique position within motifs. Has support for both binary and weighted motifs: can calculate the mean weight of motifs and the standard deviation of their mean weights. Intended for use in ecology, but its methods are general and can be applied to any bipartite network. Full details are given in Simmons et al. (2019) .

Overview

bmotif counts occurrences of motifs in bipartite networks, as well as the number of times each node appears in each unique position within motifs. bmotif was intended for use in ecology but its methods are general and can be applied to any bipartite graph.

Installation

To install the released version from CRAN:

install.packages("bmotif")

To install the development version from GitHub:

install.packages("devtools") # install the devtools package
devtools::install_github("SimmonsBI/bmotif") # install bmotif

Use

bmotif considers all 44 unique bipartite motifs up to six nodes. Within these motifs there are 148 unique positions.

bmotif has two functions: mcount and positions. mcount counts occurrences of motifs in a bipartite network. positions counts the number of times each node in a network occurs in each of the positions within the motifs.