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.
- Version0.2.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Vitevitch, Ercal, and Adagarla (2011, Frontiers)
- Siew (2019)
- Last release05/11/2021
Documentation
Team
Cynthia Siew
Dirk U. Wulff
Show author detailsRolesContributorNing Yuan Lee
Show author detailsRolesContributor
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