spreadr: An R package to simulate spreading activation in a network

Behavior Research Methods
Cynthia S Q Siew

Abstract

The notion of spreading activation is a central theme in the cognitive sciences; however, the tools for implementing spreading activation computationally are not as readily available. This article introduces the spreadr R package, which can implement spreading activation within a specified network structure. The algorithmic method implemented in the spreadr subroutines follows the approach described in Vitevitch, Ercal, and Adagarla (Frontiers in Psychology, 2, 369, 2011), who viewed activation as a fixed cognitive resource that could "spread" among connected nodes in a network. Three sets of simulations were conducted using the package. The first set of simulations successfully reproduced the results reported in Vitevitch et al. (Frontiers in Psychology, 2, 369, 2011), who showed that a simple mechanism of spreading activation could account for the clustering coefficient effect in spoken word recognition. The second set of simulations showed that the same mechanism could be extended to account for higher false alarm rates for low clustering coefficient words in a false memory task. The final set of simulations demonstrated how spreading activation could be applied to a semantic network to account for semantic priming effects. ...Continue Reading

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Citations

Aug 25, 2020·Proceedings. Mathematical, Physical, and Engineering Sciences·Nichol Castro, Cynthia S Q Siew
Oct 23, 2020·The Quarterly Journal of Experimental Psychology : QJEP·Michael S VitevitchNichol Castro
Apr 10, 2021·Topics in Cognitive Science·Michael S Vitevitch
Jun 7, 2021·Topics in Cognitive Science·Abhilasha A KumarDavid A Balota

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Software Mentioned

R package spreadr
spreadr R R
spreadr
igraph
R package
igraph R package
SPREAD - er
netdiffuseR
Pajek
R

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