Research Resources
spreadr: A R package to simulate spreading
activation in a network
The notion of spreading activation is a prevalent
metaphor in the cognitive sciences; however, the tools to
implement spreading activation in a computational simulation
are not as readily available. spreadr provides
researchers to explicitly study how the spread of activation
in a network is affected bu the network’s link structure. It
is hoped that spreadr will encourage cognitive
scientists to explicitly consider how the structure of
cognitive systems affects the way people process
information.
New! It is still a work in progress but we have a Python version thanks To Sofie Chung.
langnetr: Easily create language
networks
The langnetr package was built to help the user easily convert lists of words into network objects based on an edit distance of 1. This could be useful to any researcher who is working with linguistic data and wants to build a network based on character similarity between words. This package would work for phonological transcriptions and orthographic representations of words (of alphabetic languages).
An Introduction to Network Analysis
Materials related to a tutorial provided at the Virtual Psycholinguistics Forum on 10th August 2022. The goal of the tutorial is to provide a (very) gentle and broad introduction to network analysis. I hope that these materials will showcase the potential of network analysis for language scientists and whet your appetite for learning more about networks!