SemNeT: Methods and Measures for Semantic Network Analysis

Implements several functions for the analysis of semantic networks including different network estimation algorithms, 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: 1.4.3
Depends: R (≥ 3.6.0)
Imports: pbapply, dplyr, plyr, RColorBrewer, purrr, magrittr, ggplot2, grid, igraph, qgraph, scales, car, broom, effects, methods, philentropy
Suggests: shiny, shinyjs, shinyalert, shinyMatrix, shinyBS, spreadr, animation, R.matlab, foreign, readxl, data.table
Published: 2021-09-04
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


Package source: SemNeT_1.4.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SemNeT_1.4.3.tgz, r-release (x86_64): SemNeT_1.4.3.tgz, r-oldrel: SemNeT_1.4.3.tgz
Old sources: SemNeT archive


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