Motif Analysis in Multi-Level Networks

Tools for motif analysis in multi-level networks. Multi-level networks combine multiple networks in one, e.g. social-ecological networks. Motifs are small configurations of nodes and edges (subgraphs) occurring in networks. 'motifr' can visualize multi-level networks, count multi-level network motifs and compare motif occurrences to baseline models. It also identifies contributions of existing or potential edges to motifs to find critical or missing edges. The package is in many parts an R wrapper for the excellent 'SESMotifAnalyser' 'Python' package written by Tim Seppelt.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("motifr")

1.0.0 by Mario Angst, 8 months ago


https://marioangst.github.io/motifr/


Report a bug at https://github.com/marioangst/motifr/issues


Browse source code at https://github.com/cran/motifr


Authors: Mario Angst [aut, cre] , Tim Seppelt [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports dplyr, ggplot2, ggraph, igraph, intergraph, network, purrr, RColorBrewer, reshape2, reticulate, rlang, scales, tibble, tidygraph

Suggests ergm, knitr, pkgdown, rmarkdown, shiny, testthat

System requirements: Python (>= 3.0.0), numpy, pandas


See at CRAN