```
# NOT RUN {
g<-rgraph(20,tprob=0.06) #Generate a sparse random graph
#Find weak components
cd<-component.dist(g,connected="weak")
cd$membership #Who's in what component?
cd$csize #What are the component sizes?
#Plot the size distribution
plot(1:length(cd$cdist),cd$cdist/sum(cd$cdist),ylim=c(0,1),type="h")
lgc<-component.largest(g,connected="weak") #Get largest component
gplot(g,vertex.col=2+lgc) #Plot g, with component membership
#Plot largest component itself
gplot(component.largest(g,connected="weak",result="graph"))
#Find strong components
cd<-component.dist(g,connected="strong")
cd$membership #Who's in what component?
cd$csize #What are the component sizes?
#Plot the size distribution
plot(1:length(cd$cdist),cd$cdist/sum(cd$cdist),ylim=c(0,1),type="h")
lgc<-component.largest(g,connected="strong") #Get largest component
gplot(g,vertex.col=2+lgc) #Plot g, with component membership
#Plot largest component itself
gplot(component.largest(g,connected="strong",result="graph"))
# }
```

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