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.


Reference manual

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1.0.0 by Mario Angst, a year ago

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Browse source code at

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