spreadr - 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. <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>.