Simulating Spreading Activation in a Network R package spreadr version 0.3.0 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>. Software Depends: Rcpp (>= 0.12.5), R (>= 2.10) Imports: Matrix, assertthat, igraph LinkingTo: Rcpp Suggests: dplyr, fs, ggplot2, gganimate, ggraph, gifski, knitr, rmarkdown, testthat (>= 3.0.0) Cynthia Siew <cynsiewsq@gmail.com> Comprehensive R Archive Network (CRAN) Cynthia Siew [aut, cre], Dirk U. Wulff [ctb], Ning Yuan Lee [ctb] GPL-3 2026-05-30 application/tgz https://CRAN.R-project.org/package=spreadr doi:10.32614/CRAN.package.spreadr