Package: SemNeT 1.4.5

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 <http://alab.psych.wisc.edu/papers/files/Kenett16CreativityRW.pdf>), and a function to compute global network measures. Significance tests and plotting features are also implemented.

Authors:Alexander P. Christensen [aut, cre], Yoed N. Kenett [aut, ctb]

SemNeT_1.4.5.tar.gz
SemNeT_1.4.5.zip(r-4.7)SemNeT_1.4.5.zip(r-4.6)SemNeT_1.4.5.zip(r-4.5)
SemNeT_1.4.5.tgz(r-4.6-any)SemNeT_1.4.5.tgz(r-4.5-any)
SemNeT_1.4.5.tar.gz(r-4.7-any)SemNeT_1.4.5.tar.gz(r-4.6-any)
SemNeT_1.4.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SemNeT/json (API)

# Install 'SemNeT' in R:

install.packages('SemNeT', repos = c('https://alexchristensen.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/alexchristensen/semnet/issues

Datasets:

animals.freq - Frequency of Animal Responses
net.high - High Openness to Experience Network
net.low - Low Openness to Experience Network
one.result - Simulated Result for Dataset One
open.binary - Binary response Matrices
open.clean - Cleaned response Matrices
open.group - Groups for Openness and Verbal Fluency
two.result - Simulated Result for Dataset One and Two
vignette.plots - Plots for Vignette

On CRAN:

semantic-network-analysis

4.70 score 27 stars 37 scripts 282 downloads 1 mentions 21 exports 126 dependencies

Last updated from:97171a744e. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	188
source / vignettes	OK	249
linux-release-x86_64	OK	196
macos-release-arm64	OK	122
macos-oldrel-arm64	OK	92
windows-devel	OK	117
windows-release	OK	144
windows-oldrel	OK	165
wasm-release	OK	153

Exports:ASPL bootSemNeT CC CN compare_nets convert2cytoscape convert2igraph equate finalize NRW PF Q randnet.test randwalk response.analysis semnetmeas SemNeTShiny sim.fluency similarity test.bootSemNeT TMFG

Dependencies:abind backports base64enc boot broom bslib cachem car carData checkmate cli cluster colorspace corpcor cowplot cpp11 data.table DBI Deriv digest doBy dplyr effects estimability evaluate farver fastmap fdrtool fontawesome forecast foreign Formula fracdiff fs generics ggplot2 glasso glue GPArotation gridExtra gtable gtools highr Hmisc htmlTable htmltools htmlwidgets igraph insight isoband jpeg jquerylib jsonlite KernSmooth knitr labeling lattice lavaan lifecycle lme4 lmtest magrittr MASS Matrix MatrixModels memoise mgcv mime minqa mitools mnormt modelr nlme nloptr nnet numDeriv pbapply pbivnorm pbkrtest philentropy pillar pkgconfig plyr png poorman psych purrr qgraph quadprog quantreg R6 rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen RcppParallel Rdpack reformulas reshape2 rlang rmarkdown rpart rstudioapi S7 sass scales SparseM stringi stringr survey survival tibble tidyr tidyselect timeDate tinytex urca utf8 vctrs viridisLite withr xfun yaml zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
SemNeT-package	SemNeT-package SemNeT
Frequency of Animal Responses	animals.freq
Average Shortest Path Length	ASPL
Bootstrapped Semantic Network Analysis	bootSemNeT
Clustering Coefficient	CC
Community Network Estimation	CN
Plots Networks for Comparison	compare_nets
Convert Adjacency Matrix to Cytoscape Format	convert2cytoscape
Convert Network(s) to igraph's Format	convert2igraph
Equate Groups	equate
Finalize Response Matrix	finalize
High Openness to Experience Network	net.high
Low Openness to Experience Network	net.low
Naive Random Walk Network Estimation	NRW
Simulated Result for Dataset One	one.result
Binary response Matrices (Openness and Verbal Fluency)	open.binary
Cleaned response Matrices (Openness and Verbal Fluency)	open.clean
Groups for Openness and Verbal Fluency	open.group
Pathfinder Network	PF
Animate Networks for Spreading Activation from Shiny	plot.animateShiny
Plot for bootSemNeT	plot.bootSemNeT
Plots Networks for Comparison from Shiny	plot.compareShiny
Modularity	Q
Test Against Random Networks	randnet.test
Random Walk Simulation	randwalk
Response Analysis	response.analysis
Semantic Network Measures	semnetmeas
Shiny App for 'SemNeT'	SemNeTShiny
Simulates a verbal fluency binary response matrix	sim.fluency
Measures of Similarity	similarity
Statistical tests for 'bootSemNeT'	test.bootSemNeT
Triangulated Maximally Filtered Graph	TMFG
Simulated Result for Dataset One and Two	two.result
Plots for Vignette	vignette.plots