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. .


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install.packages("spreadr")

0.1.0 by Cynthia Siew, 4 months ago


Browse source code at https://github.com/cran/spreadr


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


Documentation:   PDF Manual  


GPL-3 license


Imports igraph, extrafont, ggplot2

Depends on Rcpp

Suggests knitr, rmarkdown

Linking to Rcpp


See at CRAN