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. and Siew, C. S. Q. (2019). spreadr: A R package to simulate spreading activation in a network. Behavior Research Methods, 51, 910-929. .


Reference manual

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0.2.0 by Cynthia Siew, 8 months ago

Browse source code at

Authors: Cynthia Siew [aut, cre] , Dirk U. Wulff [ctb] , Ning Yuan Lee [ctb]

Documentation:   PDF Manual  

GPL-3 license

Imports Matrix, assertthat, igraph, extrafont, ggplot2

Depends on Rcpp

Suggests dplyr, fs, gganimate, ggraph, gifski, knitr, rmarkdown, testthat

Linking to Rcpp

Suggested by SemNeT.

See at CRAN