spread: Spread of activation process to determine activation of...

In csqsiew/SpANR: SPreading Activation in a Network in R

Description

This function takes in a dataframe with 'node' and 'activation' columns, and simulates the spread of activation among nodes in a specified network structure.

Usage

spread(network, start_run, retention = 0.5, time = 10, decay = 0,
  suppress = 0)

Arguments

network	Network where the spreading occurs. Must be specified. Must be an igraph object with a "name" property or an adjacency matrix.
start_run	A non-empty dataframe with 'node' and 'activation' columns. Must be specified.
retention	Proportion of activation that remains in the node from which activation is being spread from. Ranges from 0 to 1. Default is 0.5.
time	Number of time steps to run the spread() function for. Default is 10.
decay	Proportion of activation that is lost at each time step. Ranges from 0 to 1. Default is 0.
suppress	Suppress nodes with a final activation of < x units at each time step to an activation value of 0. Default is 0.

Value

A compiled dataframe with 'node', 'activation' and 'time' columns showing the spread of activation in the network over time.

Examples

#See Vignette for examples.

csqsiew/SpANR documentation built on May 20, 2019, 9:44 a.m.