| backbone | R Documentation |
Provides methods for extracting from an unweighted and sparse subgraph (i.e., a backbone) that contains only the most "important" edges in a weighted bipartite projection, a non-projection weighted network, or an unweighted network.
Available backbone extraction functions include:
For weighted bipartite projections of weighted bipartite networks: osdsm().
For weighted bipartite projections of binary bipartite networks: fixedfill(), fixedrow(), fixedcol(), sdsm(), and fdsm().
For non-projection weighted networks: global(), disparity(), mlf(), lans().
For unweighted networks: sparsify(), sparsify.with.skeleton(), sparsify.with.gspar(), sparsify.with.lspar(), sparsify.with.simmelian(), sparsify.with.jaccard(), sparsify.with.meetmin(), sparsify.with.geometric(), sparsify.with.hypergeometric(), sparsify.with.localdegree(), sparsify.with.quadrilateral().
For all networks: backbone.suggest() will examine the data and suggest an appropriate backbone function
The package also includes some utility functions:
fastball() - Fast marginal-preserving randomization of binary matrices
bicm() - Compute probabilities under the bipartite configuration model
For additional documentation and background on the package functions, see vignette("backbone").
For updates, papers, presentations, and other backbone news, please see www.rbackbone.net
Maintainer: Zachary Neal zpneal@msu.edu (ORCID)
Other contributors:
Rachel Domagalski domagal9@msu.edu [contributor]
Bruce Sagan bsagan@msu.edu [contributor]
Karl Godard godardk@umich.edu [contributor]
Neal, Z. P. (2022). backbone: An R Package to Extract Network Backbones. PLOS ONE, 17, e0269137. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1371/journal.pone.0269137")}
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