SemNeT: Methods and Measures for Semantic Network Analysis

Implements several functions for the analysis of semantic networks including partial node bootstrapping (Kenett, Anaki, & Faust, 2014 <doi:10.3389/fnhum.2014.00407>), random walk simulation (Kenett & Austerweil, 2016 <>), and a function to compute global network measures. Significance tests and plotting features are also implemented.

Version: 1.2.0
Depends: R (≥ 3.5.0)
Imports: lsa, foreach, parallel, doParallel, pbapply, NetworkToolbox, SemNetCleaner, dplyr, plyr, RColorBrewer, purrr, magrittr, ggplot2, grid, igraph, qgraph, networktools
Suggests: knitr, rmarkdown, htmlTable, gridExtra, shiny, shinyalert
Published: 2020-03-22
Author: Alexander P. Christensen ORCID iD [aut, cre], Yoed N. Kenett ORCID iD [aut, ctb]
Maintainer: Alexander P. Christensen <alexpaulchristensen at>
License: GPL (≥ 3.0)
NeedsCompilation: no
Citation: SemNeT citation info
Materials: NEWS
In views: Psychometrics
CRAN checks: SemNeT results


Reference manual: SemNeT.pdf
Vignettes: Analyzing_Networks
Package source: SemNeT_1.2.0.tar.gz
Windows binaries: r-prerelease:, r-release:, r-oldrel:
macOS binaries: r-prerelease: SemNeT_1.2.0.tgz, r-release: SemNeT_1.2.0.tgz, r-oldrel: SemNeT_1.2.0.tgz
Old sources: SemNeT archive


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