spread.parallel: The spread function takes in a dataframe with 'words' and...

In csqsiew/samr: Spreading Activation Machine in R

Usage

spread.parallel(start_run, decay, retention, suppress, network)

Arguments

start_run	A non-empty dataframe with 'words' and 'activation' columns.
decay	Proportion of activation that is lost at each time step, ranges from 0 to 1.
retention	Proportion of activation that remains in the node, ranges from 0 to 1.
suppress	Suppress nodes with total final activation of < x units at each time step. Recommended value of x is 0.1 \item networkNetwork where the spreading occurs.

A updated dataframe with 'words' and 'activation' columns with new activation values. The spread function takes in a dataframe with 'words' and 'activation' columns, and simulates the spread of activation of the words listed in the 'words' columns to its neighbors in the specified network. See Vignette for examples.

csqsiew/samr documentation built on May 28, 2019, 7:49 p.m.