Togaware DATA MINING
Desktop Survival Guide
by Graham Williams
Google

Network Plot

Image rplot-network
Rattle provides plotNetwork to do most of the following.

pdf("graphics/rplot-network.pdf")
library(network)
cash <- matrix(c(0, 10000, 0, 0, 20000,
                 1000, 0, 10000, 0, 0,
                 5000, 0, 0, 0, 3000,
                 0, 1000000, 600000, 0, 0,
                 0, 50000, 0, 500000, 0),
               nrow=5, byrow=TRUE)

## Label the entities

rownames(cash) <- colnames(cash) <- c("A", "B", "C", "D", "E")

## Create a network

cash.net <- network(cash)

## We can change the line widths to represent the magnitude of the
## cash flow. We uas a log transform to get integers for the line
## widths.

cash.log <- log10(cash) # Log 10 to get magnitude
cash.log[cash.log==-Inf] <- 0 # Set resulting -Infinty (log10(0)) values to 0
cash.mag <- round(cash.log) # Round them to 

## We can also add color to indicate the magnitude.  Use heat colours
## to indicate the magnitude of the cash flow, from yellow to red.

heat <- rev(heat.colors(max(cash.mag)))
cash.col <- cash.mag
for (i in 1:length(heat)) cash.col[cash.col==i] <- heat[i]

## Record the magnitude of cash coming into any label and use this to
## scale the entity labels. 

entity.sizes <- round(log10(apply(cash, 2, sum)))
entity.sizes <- 1 + entity.sizes-min(entity.sizes)
entity.sizes <- 1 + entity.sizes/max(entity.sizes)

plot(cash.net, displaylabels=TRUE, usecurve=TRUE, mode="circle",
     edge.lwd=cash.mag, edge.col=cash.col,
     label.cex=entity.sizes, label.border=0)


dev.off()

http://rattle.togaware.com/code/rplot-network.R



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