spreadr: Simulating Spreading Activation in a Network (original) (raw)
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> and Siew, C. S. Q. (2019). spreadr: A R package to simulate spreading activation in a network. Behavior Research Methods, 51, 910-929. <doi:10.3758/s13428-018-1186-5>.
Version: | 0.2.0 |
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Depends: | Rcpp (≥ 0.12.5), R (≥ 2.10) |
Imports: | Matrix, assertthat, igraph, extrafont, ggplot2 |
LinkingTo: | Rcpp |
Suggests: | dplyr, fs, gganimate, ggraph, gifski, knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2021-05-11 |
DOI: | 10.32614/CRAN.package.spreadr |
Author: | Cynthia Siew [aut, cre], Dirk U. Wulff [ctb], Ning Yuan Lee [ctb] |
Maintainer: | Cynthia Siew |
License: | GPL-3 |
NeedsCompilation: | yes |
Materials: | NEWS |
CRAN checks: | spreadr results |
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