sp: sp

In strategicplayers: Strategic Players

Description

Takes in the number of intervention subjects you wish to identify, geodesic distances, targets, avoiders, and a parameter that prioritizes avoiding vs targetting, and returns the indecies of the strategic players

Usage

sp(n.players, gd, targets, avoiders, theta = 0.5, n.loops = 1000)

Arguments

n.players	the number of intervention subjects you wish to identify
gd	a matrix of geodesic distances for the network of interest
targets	a vector of indicies of the people you want to spread the intervention to
avoiders	a vector of indicies of the people you don't want to spread the intervention to
theta	a number between 0 and 1 which weights the distance metric, 1 only prioritizes closeness to targets, 0 only prioritizes maximizing distance from avoiders. Any number between 0 and 1 will be a compromise of these two goals.
n.loops	the number of loops to run, the more loops you run the more likely you are to identify the optimal set of strategic players

Value

returns the indicies for strategic players

strategicplayers documentation built on May 2, 2019, 2:13 a.m.