csqsiew/spreadr: Simulating Spreading Activation in a Network

The notion of spreading activation is a prevalent metaphor in the cognitive sciences. This package provides the tools for cognitive scientists and psychologists to conduct computer simulations that implement spreading activation in a network representation. The algorithmic method implemented in 'spreadr' subroutines follows the approach described in Vitevitch, Ercal, and Adagarla (2011, Frontiers), who viewed activation as a fixed cognitive resource that could spread among nodes that were connected to each other via edges or connections (i.e., a network). See Vitevitch, M. S., Ercal, G., & Adagarla, B. (2011). Simulating retrieval from a highly clustered network: Implications for spoken word recognition. Frontiers in Psychology, 2, 369. <doi:10.3389/fpsyg.2011.00369>.

Getting started

Package details

AuthorCynthia Siew [aut, cre], Dirk U. Wulff [ctb]
MaintainerCynthia Siew <cynsiewsq@gmail.com>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
csqsiew/spreadr documentation built on May 25, 2019, 2:20 p.m.