Description Details Author(s) References Examples
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 ~~
Miles Ott
Maintainer: Miles Ott <miles_ott@alumni.brown.edu>
~~ Literature or other references for background information ~~
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | require(sna)
network<-rgraph(20, tprob=.2) #generate a bernoulli random network on 20 nodes
geo<-geodist(network)[2]$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)[1])
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