write.narrative

integer: number of agents in a bipartite graph, or nodes in a unipartite graph

agents

integer: number of artifacts in a bipartite graph

artifacts

boolean: TRUE if input graph was weighted

weighted

boolean: TRUE if input graph was bipartite

bipartite

boolean: TRUE if input graph was symmetric

symmetric

boolean: TRUE if a signed backbone was requested

signed

string: type of multiple test correction

numeric: alpha significance threshold (used in statistical models)

alpha

numeric: sparsification parameter (used in sparsification models)

numeric: upper threshold (used in global threshold)

numeric: lower threshold (used in global threshold)

string: name of backbone null model

model

numeric: percent of edges retained in the backbone

retained

integer: number of trials used to estimate FDSM or oSDSM p-values

trials:

<code>write.narrative</code> displays suggested text and references that can be used in a manuscript to describe the extracted backbone

internal

An implementation of methods for extracting an unweighted unipartite
graph (i.e. a backbone) from an unweighted unipartite graph (e.g., Hamann et al.,
2016 <doi:10.1007/s13278-016-0332-2>), a weighted unipartite graph (e.g.,
Serrano et al., 2009 <doi:10.1073/pnas.0808904106>), the projection of an unweighted
bipartite graph (e.g., Neal et al., <doi:10.1038/s41598-021-03238-3>, or the projection
of a weighted bipartite graph (e.g., Neal, 2017 <doi:10.1177/0308518X16631339>).

write.narrative: Generates suggested manuscript text

Description

Usage

Arguments

Value