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SemNeT (version 1.4.5)

Methods and Measures for Semantic Network Analysis

Description

Implements several functions for the analysis of semantic networks including different network estimation algorithms, partial node bootstrapping (Kenett, Anaki, & Faust, 2014 ), random walk simulation (Kenett & Austerweil, 2016 ), and a function to compute global network measures. Significance tests and plotting features are also implemented.

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Install

install.packages('SemNeT')

Monthly Downloads

439

Version

1.4.5

License

GPL (>= 3.0)

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Repository

https://github.com/AlexChristensen/SemNeT

Maintainer

Alexander Christensen

Last Published

November 3rd, 2025

Functions in SemNeT (1.4.5)

Simulated Result for Dataset One

Random Walk Simulation

Test Against Random Networks

plot.compareShiny

Plots Networks for Comparison from Shiny

plot.animateShiny

Animate Networks for Spreading Activation from Shiny

plot.bootSemNeT

Plot for bootSemNeT

response.analysis

Response Analysis

test.bootSemNeT

Statistical tests for bootSemNeT

Simulates a verbal fluency binary response matrix

Measures of Similarity

Cleaned response Matrices (Openness and Verbal Fluency)

Groups for Openness and Verbal Fluency

Binary response Matrices (Openness and Verbal Fluency)

Simulated Result for Dataset One and Two

Plots for Vignette

SemNeT--package

Pathfinder Network

Average Shortest Path Length

Clustering Coefficient

Community Network Estimation

Naive Random Walk Network Estimation

Finalize Response Matrix

Frequency of Animal Responses

Convert Network(s) to igraph's Format

Bootstrapped Semantic Network Analysis

convert2cytoscape

Convert Adjacency Matrix to Cytoscape Format

Triangulated Maximally Filtered Graph

Shiny App for SemNeT

Plots Networks for Comparison

Low Openness to Experience Network

High Openness to Experience Network

Semantic Network Measures