Module 12: Net Madness

 Module 12: Net Madness

##Module 12: Node visualization madness



#install.packages("GGally")

#install.packages("network")

#install.packages("sna")

library(GGally)

library(network)

library(sna)

library(ggplot2)

net = rgraph(10, mode = "graph", tprob = 0.5) 

net = network(net, directed = FALSE)

network.vertex.names(net) = letters[1:10]

ggnet2(net)

ggnet2(net, node.size = 6, node.color = "black", edge.size = 1, edge.color = "grey")


##This visualization was a success and I want to know the pratical application of these nets.

##In the sources provided from the github link, what I saw was a lot of R specific jargon that I do understand

##The issue is not understanding it or what is happening, but the why? Why would data professionals use this kind of visualization in the real world applications?


 

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