Methods and Measures for Semantic Network Analysis

Documentation for package ‘SemNeT’ version 1.4.4

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