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.
The DESCRIPTION file:
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~~ An overview of how to use the package, including the most important functions ~~
Maintainer: Miles Ott <firstname.lastname@example.org>
~~ Literature or other references for background information ~~
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require(sna) network<-rgraph(20, tprob=.2) #generate a bernoulli random network on 20 nodes geo<-geodist(network)$gdist #get the geodesic distances of the network targets<-1:10 #defining the target group avoids<-11:14 #defining the avoidance group theta<-.8 #defining the theta parameter spset<-sp(4, geo, targets, avoids, theta, n.loops=100) #find sp set of size 4 spset distance(geo, targets, avoids, theta, spset) #calculates distance metric for 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))
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