Strategic Players

Description

Identifies individuals in a social network who should be the intervention subjects for a network intervention in which you have a group of targets, a group of avoiders, and a group that is neither.

Details

The DESCRIPTION file:

Index of help topics:

distance                distance
sp                      sp
strategicplayers-package
                        Strategic Players

use the sp function to get a list of strategic players indicies

Author(s)

Miles Ott

Maintainer: Miles Ott <miles_ott@alumni.brown.edu>

References

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6959850/

Examples

 
 
#I am commenting this all out so that the package won't require sna any more :)

#require(sna)

#generate a bernoulli random network on 20 nodes
#network<-rgraph(20, tprob=.2)          

#get the geodesic distances of the network
#geo<-geodist(network)[2]$gdist  

#defining the target group
#targets<-1:10                        

#defining the avoidance group
#avoids<-11:14                         

#defining the theta parameter
#theta<-.8                             

#find sp set of size 4
#spset<-sp(4, geo, targets, avoids, theta, n.loops=100)  
#spset

#calculates distance metric for spset
#distance(geo, targets, avoids, theta, spset)           

#plot the network with the strategic player set highlighted in yellow

#colors<-rep("white", 20)
#colors[targets]<-"green"
#colors[avoids]<-"red"
#colors[spset]<-"yellow"
#par(mar=c(1,1,1,1))
#gplot(network, vertex.col=colors, 
#usearrows=FALSE, edge.col="grey",
#vertex.border="grey", vertex.cex=1.7, pad=0, label=1:dim(network)[1])

distance

Description

Takes in the geodesic distances, targets, avoiders, a parameter that prioritizes avoiding vs targetting, and the current players and returns the strategic players distance metric

Usage

distance(gd, targets, avoiders, theta, players)

Arguments

Value

returns the distance metric for strategic players, which we want to maximize

sp

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

Value

returns the indicies for strategic players